CURRICULUM VITAE

PERSONAL DETAILS:

Full Name:	Timothy John Baldwin
Nationality:	Australian/British
Current Professional Status:	Professor, Mohamed bin Zayed University of Artificial Intelligence Melbourne Laureate Professor, School of Computing and Information Systems, The University of Melbourne Co-founder and Chief Scientific Officer, LibrAI
Contact details:	See my web page

 

EDUCATION

ACADEMIC HONOURS

GENERAL ACADEMIA:

EMPLOYMENT HISTORY

2022—	Mohamed bin Zayed University of Artificial Intelligence Professor
2023—	LibrAI (a start-up focused on evaluating and enhancing AI safety) Co-founder and Chief Scientific Officer
2019—	The University of Melbourne Melbourne Laureate Professor
2014—	The University of Melbourne Professor
2024—2026	Mohamed bin Zayed University of Artificial Intelligence Provost
2022—2024	Mohamed bin Zayed University of Artificial Intelligence Associate Provost Academic Affairs
2023—2024	Mohamed bin Zayed University of Artificial Intelligence Acting Provost
2022—2023	Mohamed bin Zayed University of Artificial Intelligence Chair of the Department of Natural Language Processing
2017—2020	The University of Melbourne Associate Dean (Research Training), Melbourne School of Engineering
2010—2013	The University of Melbourne Associate Professor
2012	Department of Computing and Information Systems, The University of Melbourne Deputy Head of Department
2011—2012	Department of Computational Linguistics, Saarland University Erasmus Mundus Visiting Scholar
2011	Department of Computer Science and Software Engineering, The University of Melbourne Deputy Head of Department
2010	Faculty of Information Technology, Monash University Visiting Academic
2010	Turing Centre, University of Washington Visiting Scholar
2008—2009	Department of Information Science, University of Tokyo Invited Fellow
2004–2009	The University of Melbourne Senior Lecturer
2008	Department of Computational Linguistics, Saarland University Erasmus Mundus Visiting Scholar
2001–2004	Centre for the Study of Language and Information (CSLI), Stanford University Senior Researcher in the CSLI LinGO Lab
2004	Machine Translation Research Group, NTT Communication Science Laboratories Invited Associate Professor
1999–2000	Computer Science Department, Tokyo Institute of Technology Teaching Assistant
1994–1995	Japanese and Chinese Department, The University of Melbourne Research/teaching Assistant

GRANTS

2025—2026	AWS: Dynamic Research Platform for Multi-agent AI System Security ($100K)
2025	Google: LLMs for Uncertainty Quantification ($70K)
2024	Meta: Extending Healthcare Access to Underserved Communities with AI ($100K) — Principal Investigator (joint with H. Cholakkal, S. Khan, and F. Khan)
2023—2026	MBZUAI–Weizmann Partnership: Understanding Human Memory through the Lens of Artificial Intelligence — Principal Investigator (joint with M. Tsodyks)
2023—2026	Australian Research Council (ARC) Linkage Project: AI for Legal Problem Diagnosis in the Diverse Language of Australians (AUD$370K) — Chief Investigator (joint with J.H Lau)
2020	Australian Research Council (ARC) LIEF Project: Whopping Volta GPU Cluster (AUD$900K) — Chief Investigator (joint with D. Tao, B. Vucetic, R. Kotagiri, E. Nebot, X. Lin. Y. Gao, M. Bennamoun, R. Buyya, T. Baldwin, S. Williams, J. Yuan, M. Pagnucco)
2020—2021	Mitsubishi Heavy Industries: Development of Natural Language Processing for Technical Terms (AUD$107K) — Chief Investigator (joint with J.H. Lau)
2020—2021	University of Melbourne Learning and Teaching Initiative: Scalable Online Exams for Programming Subjects (AUD$25K) — Chief Investigator (joint with A. Moffat)
2020—2021	Fujitsu Laboratories: Development of Multimodal Pretraining and Representation Methods for Document Processing (AUD$150K) — Chief Investigator (joint with D. Beck)
2020—2022	Australian Research Council (ARC) Discovery Project: Fairness in Natural Language Processing (AUD$470K) — Chief Investigator (joint with T. Cohn, L. Frermann)
2019—2020	ByteDance: Text Disfluency Detection and Challenge (AUD$75K) — Chief Investigator (joint with J. Qi)
2019—2020	University of Melbourne Learning and Teaching Initiative: Iterative self-assessment and feedback for computer programming instruction (AUD$78K) — Chief Investigator
2018—2021	Australian Research Council (ARC) Linkage Project: Biochemical text mining for advancing chemical and pharmaceutical knowledge (AUD$500K) — Chief Investigator (joint with K. Verspoor, T. Cohn, L. Cavedon, A. Copestake, M. Gregory, M. Doornenbal, S. Ahmad akhondi)
2017—2022	Australian Research Council (ARC): Industrial Transformation Training Centre on Cognitive Computing for Medical Technologies (AUD$4.1M) — Director (joint with D. Freestone, D. Grayden, C. Masters, K. Verspoor, M. Cook, A. Burkitt, T. Cohn, J. Bailey, I. Mareels, T. Kalincik, A. van Schaik; M. McDonnell, L. Cavedon, J. Batstone, S. Harrer, N. Faux, A. Jimeno Yepes, C. Butler, B. Goudey, U. Asif, J. Tang, J.H. Lau, B. Mashford, P. Maruff)
2017—2019	Australian Research Council (ARC) Discovery Project Project: Making computers understand common language about place (AUD$411K) — Chief Investigator (joint grant with S. Winter, J. Renz, M. Tomko, M. Vasardani)
2016—2017	University of Melbourne Learning and Teaching Initiative: How can I Help my Friend without Copying their Code? (AUD$10K) — Chief Investigator (joint grant with A. Moffat, H. Sondergaard and A. Turpin)
2016—2017	Australia-Germany Joint Research Co-operation travel grant: Rapid Deployment of Named Entity Recognisers for Novel Domains (AUD$20K) — Chief Investigator (joint grant with K. Verspoor, G. Weikum)
2016	Australian Research Council (ARC) Linkage Infrastructure, Equipment and Facility Project: VetCompass: Big Data and Real-time Surveillance for Veterinary Science (AUD$230K) — Chief Investigator (joint grant with P. McGreevy, N. Dhand, J. Gilkerson, C. Mansfield, A. Peaston, P. Hill, S. Raidal, M. Combs, P. Irwin, I. Robertson, R. Soares Magalhaes, J. Rand, R. Squires, D. Oppenheimer)
2015–2018	Australian Research Council (ARC) Linkage Project: User-Adaptive Search and Evaluation for Complex Information-Seeking Tasks (AUD$473K) — Chief Investigator (joint grant with L. Cavedon, M. Sanderson, F. Scholer, A. Moffat, J. Zobel, W. Wong, E. Balfe)
2015—2018	Xerox Foundation University Affairs Committee grant: Contextualising and Personalising Natural Language Processing (USD$90K) — Chief Investigator (joint grant with S. Nowson)
2015	Centre for Business Analytics: Corporate Risk Exposure Measurement via Text Mining of Contract Documents ($15K) — Chief Investigator (joint grant with K. Verspoor)
2015	Melbourne School of Government: Social Media Warfare: Analysing Twitter Data to Explore How Insurgents Engage with Western Sympathisers ($23K) — Chief Investigator (joint grant with C. Briedbach, A. Ahmad and J. Langmore)
2014	Google Cloud Credits Award: Learning Word Sense Distributions for Wordnets of the World's Languages (USD$10K) — Principal Investigator (joint grant with F. Bond, P. Cook and J.H. Lau)
2013–2014	American Institutes for Research (AIR) research contract (AUD$25K) — Chief Investigator (joint grant with P. Cook)
2013–2014	Defence Science Institute (DSI) seed initiative grant: Personalised Topic Modelling and Sentiment Analysis for Enhanced Information Discovery over Document Streams (AUD$35K) — Chief Investigator
2013–2015	Australian Research Council (ARC) Linkage Project: Personalised Topic Modelling and Sentiment Analysis for Enhanced Information Discovery over Document Streams (AUD$195K) — Chief Investigator (joint grant with J.H. Lau, J. Wells and D. Johnson)
2013–2016	Australian Research Council (ARC) Future Fellow: Information access through web-scale question-answer pair finding, ranking and matching (AUD$782K) — Chief Investigator
2013	University of Melbourne Learning and Teaching Initiative: Implementation of the online PeerTutor application — a peer-moderated Q&A forum (AUD$10K) — Chief Investigator (joint grant with P. Andonov)
2013	University of Melbourne Learning and Teaching Initiative: SES Topic Modelling and Reporting (AUD$40K) — Chief Investigator (joint grant with P. Cook and P. Andonov)
2011–2013	Australian Research Council (ARC) Discovery grant: Principles, Practice, and Pragmatics of Measurement in Experimental Computer Science (AUD$330K) — Chief Investigator (joint grant with J. Zobel, A. Moffat and A. Harwood)
2011	Go8 European Fellowship grant to invite Dr. Gintarė Grigonytė (Vytautas Magnus University) to the University of Melbourne (AUD$20K) — Chief Investigator
2010	Victorian Life Sciences Computation Initiative (VLSCI) Resource Allocation Scheme grant: Information Extraction over MEDLINE (AUD$20K) — Chief Investigator
2011–2014	Australian Research Council (ARC) Linkage grant: Talking about Place — Tapping Human Knowledge to Enrich National Spatial Data Sets (AUD$300K) — Chief Investigator (joint grant with S. Winter, M. Duckham, A. Kealy, L. Cavedon, L. Stirling and R. Abbas)
2010–2013	Erasmus Mundus European Masters Program in Language and Communication Technologies (LCT) — Local Coordinator at the University of Melbourne (an equal member in the consortium)
2010–2011	Institute for Broadband Enabled Society project seed grant: Early Detection and Mitigation of Disastrous Events with Broadband-Enabled Social Interaction Technologies (AUD$30K) — Chief Investigator (joint grant with S. Karunasekera, A. Harwood, R. Kotagiri and P. Pattison)
2010	Institute for Broadband Enabled Society project seed grant: Crowd-Sourcing Human Knowledge on Spatial Semantics of Placenames (AUD$48K) — Chief Investigator (joint grant with S. Winter, M. Duckham, A. Kealy, L. Cavedon, L. Stirling and A. Rajabifard)
2009–2011	Australian Research Council (ARC) Discovery grant: Online Linguistic Exploration: Deeper, Faster, Broader Language Documentation (AUD$176K) — Chief Investigator (joint grant with S. Bird)
2009–2010	Microsoft Research Asia Research Award: Multilingual Unsupervised Parse Selection (USD$30K) — Chief Investigator (joint grant with S. Bird)
2009	ARC HCSNet International Visiting Speaker Programme grant to invite Dr. Mark Stevenson (University of Sheffield) to the University of Melbourne (AUD$4K) — Chief Investigator (joint grant with D. Martinez)
2009	The University of Melbourne Faculty of Science, industry collaboration grant (AUD$10K) — Chief Investigator (joint grant with L. Sonenberg, I. Zukerman and L. Kulik)
2008–2009	Google Research Award: Web-scale Language Identification: All Languages Great and Small (USD$60K) — Chief Investigator
	Microsoft Research Asia Research Award: Web User Forum Text Analysis (USD$18K) — Chief Investigator
2008	Joint Tewkesbury/University of Melbourne Visiting Researcher grant to invite Dr. Dan P. Flickinger (Stanford University) to the University of Melbourne (AUD$10K) — Chief Investigator
2008	ARC HCSNet International Visiting Speaker Programme grant to invite Dr. Dan Flickinger (Stanford University) to the University of Melbourne (AUD$4K) — Chief Investigator (joint grant with R. Nordlinger)
2007–2011	NICTA project: Biological Text and Language Applications (BioTALA) (AUD$3M) — Chief Investigator (joint grant with J. Zobel, L. Cavedon, N. Stokes, J. Bailey, S. Bird and A. Moffat)
2007–2010	Australian Research Council (ARC) Discovery grant: Dynamic personalisation for assisted navigation of information rich, physical environments (AUD$325K) — Chief Investigator (joint grant with I. Zukerman, S. Bird, L. Sonenberg and S. Balbo)
2007	Gift from the Association for Natural Language Processing to CSLI Publications to establish the CSLI Publications Series on Japanese Computational Linguistics (USD$3K)
	ARC HCSNet International Visiting Speaker Programme grant to invite Dr. Eneko Agirre (University of the Basque Country) to the University of Melbourne (AUD$4K) — Chief Investigator
2006–2009	Australian Research Council (ARC) Discovery grant: Information Delivery from Segmented Textual Data Streams (AUD$161K) — Chief Investigator
2006–2008	Communication Science Laboratories, Nippon Telegraph and Telephone Corp. (NTT) grant: Scalable Language Understanding for Japanese (AUD$70K) — Principal Investigator (joint grant with S. Nariyama)
2005–2009	NICTA project: Interactive Information Discovery and Delivery (AUD$1.5M) — contributed staff member (joint project with S. Bird, A. Moffat, J. Bailey, R. Kotagiri, L. Cavedon and N. Stokes)
2005–2006	Australian Research Council (ARC) e-Research Special Research Initiative grant: An Intelligent Search Infrastructure for Language Resources on the Web (AUD$100K) — Chief Investigator (joint grant with S. Bird and B. Hughes)
2004–2006	Communication Science Laboratories, Nippon Telegraph and Telephone Corp. (NTT) grant: Feature-rich Word Sense Disambiguation and Unknown Word Bootstrapping (AUD$65K) — Principal Investigator
2003	Internal CSLI grant: Learning qualia structure from corpus data (USD$25K) — Principal Investigator
2000	Communication Science Laboratories, Nippon Telegraph and Telephone Corp. (NTT) grant: Japanese Analysis and Dictionary Construction (USD$8K, Principal Investigator: Hozumi Tanaka)
1999	Communication Science Laboratories, Nippon Telegraph and Telephone Corp. (NTT) grant: Japanese Relative Clause Analysis and Syntactic and Semantic Verb Classification (USD$8K, Principal Investigator: Hozumi Tanaka)

PUBLICATIONS

 

Books

• Jauhiainen, Tommi, Marcos Zampieri, Timothy Baldwin and Krister Lindén (2024) Automatic Language Identification in Texts, Springer Synthesis Lectures on Human Language Technologies.

 

Editted Volumes and Journal Special Issues

• Baldwin, Timothy, William Croft, Joakim Nivre and Agata Savary (2021) Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics (Dagstuhl Seminar 21351), Dagstuhl Reports 11(7), pp. 89--138.
• Baldwin, Timothy, Francis Bond, Kentaro Inui, Shun Ishizaki and Hiroshi Nakagawa and Akira Shimazu, eds. (2016) Readings in Japanese Natural Language Processing, CSLI Publications, Stanford, USA.
• Baldwin, Timothy and Valia Kordoni, eds. (2011) Special Issue of Linguistic Issues in Language Technology on The Interaction between Linguistics and Computational Linguistics, Volume 6.
• Baldwin, Timothy, Valia Kordoni and Aline Villavicencio, eds. (2009) Computational Linguistics: Special Issue on Preposition in Applications

 

Journal papers

• Ma, Xingjun, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhan Zhao, Hanxun Huang, Yige Li, Yutao Wu, Jiaming Zhang, Xiang Zheng, Yang Bai, Yiming Li, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Xudong Han, Haonan Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah Erfani, Tim Baldwin, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey and Yu-Gang Jiang (2026) Safety at scale: A comprehensive survey of large model and agent safety, Foundations and Trends in Privacy and Security 8, no. 3-4 (2026): 1-240.
• Kurniawan, Kemal Meladel Mistica, Timothy Baldwin and Jey Han Lau (2026) Training and Evaluating with Human Label Variation: An Empirical Study, Computational Linguistics 52(1), pp. 85—111.
• Lin, Lizhi, Honglin Mu, Zenan Zhai, Minghan Wang, Yuxia Wang, Renxi Wang, Junjie Gao, Yixuan Zhang, Wanxiang Che, Timothy Baldwin, Xudong Han and Haonan Li (2025) Against The Achilles' Heel: A Survey on Red Teaming for Generative Models, Journal of Artificial Intelligence Research 82, pp. 687—775.
• Aoki, Tatsuya, Jey Han Lau, Hidetaka Kamigaito, Hiroya Takamura, Timothy Baldwin and Manabu Okumura (2025) Discovering Unusual Word Usages with Masked Language Model via Pseudo-label Training Journal of Natural Language Processing, Volume 32, Issue 1.
• Vashurin, Roman, Ekaterina Fadeeva, Artem Vazhentsev, Akim Tsvigun, Daniil Vasilev, Rui Xing, Abdelrahman "Boda" Sadallah, Lyudmila Rvanova, Sergey Petrakov, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov and Artem Shelmanov (2025) Benchmarking Uncertainty Quantification Methods for Large Language Models, Transactions of the Association for Computational Linguistics 13, pp. 220—248.
• Kuribayashi, Tatsuki, Yohei Oseki, Souhaib Ben Taieb, Kentaro Inui and Timothy Baldwin (2025) Large Language Models Are Human-Like Internally, Transactions of the Association for Computational Linguistics 13, pp. 1743—1766.
• Šuster, Simon, Timothy Baldwin and Karin Verspoor (2024) Zero- and Few-Shot Prompting of Generative Large Language Models Provides Weak Assessment of Risk of Bias in Clinical Trials, Research Synthesis Methods.
• Hur, Brian, Karin M. Verspoor, Timothy Baldwin, Laura Y. Hardefeldt, Caitlin Pfeiffer, Caroline Mansfield, Riati Scarborough and James R. Gilkerson (2024) Using Natural Language Processing and Patient Journey Clustering for Temporal Phenotyping of Antimicrobial Therapies for Cat Bite Abscesses, Preventive Veterinary Medicine 223.
• Koto, Fajri, Rahmad Mahendra, Nurul Aisyah and Timothy Baldwin (2024) IndoCulture: Exploring Geographically-Influenced Cultural Commonsense Reasoning Across Eleven Indonesian Provinces, Transactions of the Association for Computational Linguistics 12, pp. 1703—1719.
• Augenstein, Isabelle, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca, Ciampaglia, David Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Halevy, Eduard Hovy, Heng Ji, Filippo Menczer, Ruben Miguez, Preslav Nakov, Dietram Scheufele, Shivam Sharma and Giovanni Zagni (2024) Factuality Challenges in the Era of Large Language Models and Opportunities for Fact-Checking, Nature Machine Intelligence.
• Šuster, Simon, Timothy Baldwin and Karin Verspoor (2023) Analysis of predictive performance and reliability of classifiers for quality assessment of medical evidence revealed important variation by medical area, Journal of Clinical Epidemiology.
• Yuxia, Wang, Shimin Tao, Ning Xie, Hao Yang, Karin Verspoor, Timothy Baldwin (2023) Collective Human Opinions in Semantic Textual Similarity, Transactions of the Association for Computational Linguistics.
• Ma, Chunpeng, Aili Shen, Hiyori Yoshikawa, Tomoya Iwakura, Daniel Beck and Timothy Baldwin (2023) On the Effectiveness of Images in Multi-modal Text Classification: An Annotation Study, ACM Transactions on Asian Low-Resource Languages and Information Processing 22(3) pp. 1—19.
• Šuster, Simon, Timothy Baldwin, Jey Han Lau, Antonio Jimeno Yepes, David Martinez Iraola, Yulia Otmakhova and Karin Verspoor (2023) Automating Quality Assessment of Medical Evidence in Systematic Reviews, Journal of Medical Internet Research 25:e35568.
• Saint-Jalmes, Martin, Victor Fedyashov, Daniel Beck, Timothy Baldwin, Noel G. Faux, Pierrick Bourgeat, Jurgen Fripp, Colin L. Masters, Benjamin Goudey (2023) Disease Progression Modelling of Alzheimer's Disease Using Probabilistic Principal Components Analysis, NeuroImage 278.
• Hur, Brian, Laura Y Hardefeldt, Karin Verspoor, Timothy Baldwin and James R Gilkerson (2022) Overcoming challenges in extracting prescribing habits from veterinary clinics using big data and deep learning, Australian Veterinary Journal
• Hur, Brian, Laura Y Hardefeldt, Karin M Verspoor, Timothy Baldwin and James R Gilkerson (2022) Evaluating the dose, indication and agreement with guidelines of antimicrobial use in companion animal practice with natural language processing, JAC-Antimicrobial Resistance 4(1).
• Koto, Fajri, Timothy Baldwin and Jey Han Lau (2022) FFCI: A Framework for Interpretable Automatic Evaluation of Summarization, Journal of Artificial Intelligence Research 73, pp. 1553—1607.
• Wang, Yuxia, Daniel Beck, Timothy Baldwin and Karin Verspoor (2022) Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression, Transactions of the Association for Computational Linguistics 10, 680—696.
• Wang Siyang, Šuster Simon, Baldwin Timothy and Verspoor Karin (2022) Predicting Publication of Clinical Trials Using Structured and Unstructured Data: Model Development and Validation Study, Journal of Medical Internet Research 24(12):e38859.
• Li, Haonan, Ehsan Hamzei, Ivan Majic, Hua Hua, Jochen Renz, Martin Tomko, Maria Vasardani, Stephan Winter and Timothy Baldwin (2021) Neural Factoid Geospatial Question Answering, Journal of Spatial Information Science 23, pp. 65—90.
• Shen, Aili, Meladel Mistica, Bahar Salehi, Hang Li, Timothy Baldwin and Jianzhong Qi (2021) Evaluating Document Coherence Modelling, Transactions of the Association for Computational Linguistics 9: 621—640.
• Winter, Stephan, Timothy Baldwin, Martin Tomko, Jochen Renz, Werner Kuhn and Maria Vasardani (2021) Spatial Concepts in the Conversation With a Computer, In Communications of the ACM 64(7), pp. 82—88.
• He, Jiayuan, Dat Quoc Nguyen, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Zubair Afzal, Zenan Zhai, Biaoyan Fang, Hiyori Yoshikawa, Ameer Albahem, Lawrence Cavedon, Trevor Cohn, Timothy Baldwin and Karin Verspoor (2021) ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents, Frontiers in Research Metrics and Analytics 6.
• Wang, Yuxia, Brian Hur, Karin Verspoor and Timothy Baldwin (2020) Robust Multi-pass Sieve for Clinical Concept Normalization, TAL 61(2), pp. 41—66.
• Hardefeld, Laura Y, Brian Hur, Karin Verspoor, Timothy Baldwin, Kirsten E Bailey, Riata Scarborough, Suzanna Richards, Helen Bilman-Jacobe, Glenn F Browning and James R Gilkerson (2020) Use of cefovecin in dogs and cats attending first-opinion veterinary practices in Australia, Veterinary Record.
• Shen, Aili, Bahar Salehi, Jianzhong Qi and Timothy Baldwin (2020) A Multimodal Approach to Assessing Document Quality, Journal of Artificial Intelligence Research Vol 68, pp. 607—632.
• Hur, Brian A., Laura Y. Hardefeldt, Karin M. Verspoor, Timothy Baldwin, and James R Gilkerson (2020) Describing the Antimicrobial Usage Patterns of Companion Animal Veterinary Practices; Free Text Analysis of more than 4.4 Million Consultation Records, PLoS ONE 15(3): e0230049.
• Jauhiainen, Tommi, Marco Lui, Marcos Zampieri, Timothy Baldwin and Krister Lindén (2019) Automatic Language Identification in Texts: A Survey, Journal of Artificial Intelligence Research, Volume 65, pp. 675—782.
• Brian Hur, Laura Y. Hardefeldt, Karin Verspoor, Timothy Baldwin and James R Gilkerson (2019) Using Natural Language Processing and VetCompass to understand antimicrobial usage patterns in Australia, Australian Veterinary Journal 97(8), pp. 298—300.
• McCaughey, Tristan, David M. Budden, Paul G. Sanfilippo, George EC Gooden, Li Fan, Eva Fenwick, Gwyneth Rees, Casimir MacGregor, Lei Si, Christine Chen, Helena Hai Liang, Alice Pébay, Timothy Baldwin and Alex W Hewitt (2019) A need for better understanding is the major determinant for public perceptions of human gene editing, Human Gene Therapy 30(1), pp. 36—43.
• Hoogeveen, Doris, Li Wang, Timothy Baldwin and Karin M. Verspoor (2018) Web Forum Retrieval and Text Analytics: a Survey, Foundations and Trends in Information Retrieval, Vol. 12, No. 1, pp 1—163.
• Brooke, Julian, Jan Snajder and Timothy Baldwin (2017) Unsupervised Acquisition of Comprehensive Multiword Lexicons using Competition in an n-gram Lattice, Transactions of the Association for Computational Linguistics, Volume 5, 455—470.
• Darwish, Kareem, Walid Magdy, Afshin Rahimi, Timothy Baldwin, Norah Abokhodair (2017) Predicting Online Islamophobic Behavior after #ParisAttacks, The Journal of Web Science.
• McGreevy, Paul, Peter Thomson, Navneet Dhand, David Raubenheimer, Sophie Masters, Caroline Mansfield, Timothy Baldwin, Ricardo Soares Magalhaes, Jacquie Rand, Peter Hill, Anne Peaston, James Gilkerson, Martin Combs, Shane Raidal, Peter Irwin, Peter Irons, Richard Squires, David Brodbelt and Jeremy Hammond (2017) VetCompass Australia: Big Data and Real-time Surveillance for Veterinary Science, Animals 7(10).
• Aletras, Nikolaos, Timothy Baldwin, Jey Han Lau and Mark Stevenson (2017) Evaluating Topic Representations for Exploring Document Collections, Journal of the Association for Information Science and Technology 68(1), pp. 154—167.
• Graham, Yvette, Timothy Baldwin, Alistair Moffat and Justin Zobel (2017) Can Machine Translation Systems be Evaluated by the Crowd Alone? Natural Language Engineering 23(1), pp. 3–30.
• Casas-Mulet, Roser, Elise King, Doris Hoogeveen, Long Duong, Garima Lakhanpal, Timothy Baldwin, Michael Stewardson and Angus J. Webb (2016) Two Decades of Ecohydraulics: Trends of an Emerging Interdiscipline, Journal of Ecohydraulics, Vol 1(1-2), pp. 16–30.
• McCaughey, Tristan, Paul G. Sanfilippo, George E.C. Gooden, David M. Budden, Li Fan, Eva Fenwick, Gwyneth Rees, Casimir MacGregor, Lei Si, Christine Chen, Helena Hai Liang, Timothy Baldwin, Alice Pébay and Alex W. Hewitt (2016) A Global Social Media Survey of Attitudes to Human Genome Editing, Cell Stem Cell, Volume 18, Issue 5, pp. 569–572.
• Letcher, Ned, Rebecca Dridan and Timothy Baldwin (2015) gDelta: A Missing Link in the Grammar Engineering Toolchain, Language Resources and Evaluation 49(1), pp. 51–75.
• Cook, Paul, Bo Han and Timothy Baldwin (2014) Statistical Methods for Identifying Local Dialectal Terms from Corpora of GPS-tagged Documents, Dictionaries 35, pp. 248–271.
• Han, Bo, Paul Cook and Timothy Baldwin (2014) Text-based Twitter User Geolocation Prediction, Journal of Artificial Intelligence Research 49, pp. 451–500.
• Lui, Marco, Jey Han Lau and Timothy Baldwin (2014) Automatic Detection and Language Identification of Multilingual Documents, Transactions of the Association for Computational Linguistics, 2(Feb):27–40.
• Kim, Su Nam and Timothy Baldwin (2013) Word Sense Disambiguation and Noun Compounds, ACM Transactions on Speech and Language Processing 10(3), pp. 9:1–9:17.
• Lau, Jey Han, David Newman and Timothy Baldwin (2013) On Collocations and Topic Models, ACM Transactions on Speech and Language Processing 10(3), pp. 10:1–10:14.
• Kim, Su Nam and Timothy Baldwin (2013) A Lexical Semantic Approach to Interpreting and Bracketing English Noun Compounds, Natural Language Engineering 19(3), pp. 385–407.
• Han, Bo, Paul Cook and Timothy Baldwin (2013) Lexical Normalisation of Short Text Messages, ACM Transactions on Intelligent Systems and Technology 4(1), pp. 5:1–5:27.
• Kim, Su Nam, Olena Medelyan, Min-Yen Kan and Timothy Baldwin (2013) Automatic Keyphrase Extraction from Scientific Articles, Language Resources and Evaluation 10(3), pp. 9:1–9:17.
• MacKinlay, Andrew, David Martinez and Timothy Baldwin (2012) Detecting modification of biomedical events using a deep parsing approach, BMC Medical Informatics and Decision Making 2012, 12(Suppl 1):S4.
• Baldwin, Timothy and Valia Kordoni (2011) The Interaction between Linguistics and Computational Linguistics: Virtuous, Vicious or Vacuous?, Linguistic Issues in Language Technology 6(1).
• Martinez, David and Timothy Baldwin (2011) Word Sense Disambiguation for Event Trigger Word Detection in Biomedicine, BMC Bioinformatics, 12(Suppl 2): S4.
• Grieser, Karl, Timothy Baldwin, Fabian Bohnert and Liz Sonenberg (2011) Using Ontological and Document Similarity to Estimate Museum Exhibit Relatedness, ACM Journal of Computing and Cultural Heritage 3(3), pp. 1–20.
• Newman, David, Timothy Baldwin, Lawrence Cavedon, Sarvnaz Karimi, David Martinez and Justin Zobel (2010) Visualizing document collections and search results using topic mapping, Journal of Web Semantics 8(2-3), pp. 169–175.
• Baldwin, Timothy, Su Nam Kim, Francis Bond, Sanae Fujita, David Martinez and Takaaki Tanaka (2010) A Reexamination of MRD-based Word Sense Disambiguation, ACM Transactions on Asian Language Information Processing (TALIP) 9(1).
• Kim, Su Nam and Timothy Baldwin (2010) How to Pick out Token Instances of English Verb-Particle Constructions, Journal of Language Resources and Evaluation 44(1-2), pp. 97–113.
• Baldwin, Timothy (2009) The Hare and the Tortoise: Speed and Accuracy in Translation Retrieval, Machine Translation 23(4), pp. 195–240.
• Baldwin, Timothy, Valia Kordoni and Aline Villavicencio (2009) Prepositions in Applications: A Survey and Introduction to the Special Issue, Computational Linguistics, 35(2), pp. 119–149.
• Bohnert, Fabian, Ingrid Zukerman, Shlomo Berkovsky, Timothy Baldwin and Elizabeth Sonenberg (2008) Using Interest and Transition Models to Predict Visitor Locations in Museums, AI Communications, 21(2-3), pp. 195–202.
• Ichiro Yamada, Timothy Baldwin, Hideki Sumiyoshi, Masahiro Shibata and Nobuyuki Yagi (2007) Automatic Acquisition of Qualia Structure from Corpus Data, IEICE Transactions on Information and Systems, Vol. E90-D, No. 10, pp. 1534–1541.
• Ye, Patrick and Timothy Baldwin (2006) Semantic Role Labelling of Prepositional Phrases, ACM Transactions on Asian Language Information Processing, 5(3), pp. 228–244.
• Baldwin, Timothy (2005) The Deep Lexical Acquisition of English Verb-particle Constructions, Computer Speech and Language, Special Issue on Multiword Expressions, Volume 19, Issue 4, pp. 398–414.
• Uchiyama, Kiyoko, Timothy Baldwin and Shun Ishizaki (2005) Disambiguating Japanese Compound Verbs, Computer Speech and Language, Special Issue on Multiword Expressions, Volume 19, Issue 4, pp. 497–512.
• Bilac, Slaven, Timothy Baldwin and Hozumi Tanaka (2003) Increasing the error coverage of the FOKS Japanese dictionary interface, Traitement automatique des langues Vol. 44 No. 2.
• Bilac, Slaven, Timothy Baldwin and Hozumi Tanaka (2003) Chiteki-na Jisho FOKS: Dare-demo Kensaku-Kanou-na Jisho Shisutemu (The FOKS Intelligent Dictionary: A Freely-accessible Dictionary System), In Kuramae Journal No. 975, pp. 20–5 (in Japanese).
• Baldwin, Timothy & Hozumi Tanaka (2001) Balancing up efficiency and accuracy in translation retrieval, Journal of Natural Language Processing vol. 8, no. 2, pp. 19–37.

 

Book chapters

• Dmonte, Alphaeus, Yuxia Wang, Preslav Nakov, Haonan Li, Xudong Han, Marcos Zampieri, Kevin Lybarger, Massimiliano Albanese and Timothy Baldwin (2025) Creating Frameworks and Datasets at the Intersection of AI Safety and Elections, In Biplav Srivastava, Anita Nikolich, Andrea Hickerson and Tarmo Koppel (eds.) PROMISE – PROMoting AI’s Safe usage for Elections, Springer, pp. 115—146.
• Taylor, Joanna E., Meladel Mistica, Graham Fairclough and Timothy Baldwin (2022) Inferring Value: A Multiscalar Analysis of Landscape Character Assessments, In Ross S. Purves, Olga Koblet, and Benjamin Adam (eds.) Environmental Narratives, Ubiquity Press Ltd., pp. 179—196.
• Hovy, Dirk, Afshin Rahimi, Timothy Baldwin and Julian Brooke (2019) Visualizing Regional Language Variation Across Europe on Twitter, In Stanley Brunn and Roland Kehrein (eds.) Handbook of the Changing World Language Map, Springer.
• Brooke, Julian, King Chan and Timothy Baldwin (2018) Semi-automated resolution of inconsistency for a harmonized multiword-expression and dependency-parse annotation, In Stella Markantonatou, Carlos Ramisch, Agata Savary and Veronika Vincze (eds.) Multiword Expressions at Length and in Depth: Extended papers from the MWE 2017 Workshop, Chapter 9.
• Saleni, Bahar, Paul Cook and Timothy Baldwin (2018) Exploiting multilingual lexical resources to predict MWE compositionality, In Stella Markantonatou, Carlos Ramisch, Agata Savary and Veronika Vincze (eds.) Multiword expressions at Length and in Depth: Extended Papers from the MWE 2017 Workshop, Chapter 13.
• Bond, Francis and Timothy Baldwin (2016) Introduction to Japanese Computational Linguistics, In Francis Bond, Timothy Baldwin, Kentaro Inui, Shun Ishizaki, Hiroshi Nakagawa and Akira Shimazu (eds.) Readings in Japanese Natural Language Processing, CSLI Publications, Stanford, USA, pp. 1–28.
• Baldwin, Timothy (2016) Balancing up Efficiency and Accuracy in Translation Retrieval, In Timothy Baldwin, Francis Bond, Kentaro Inui, Shun Ishizaki, Hiroshi Nakagawa and Akira Shimazu (eds.) Readings in Japanese Natural Language Processing, CSLI Publications, Stanford, USA, pp. 199–216.
• Bender, Emily M., Sumukh Ghodke, Timothy Baldwin and Rebecca Dridan (2012) From Database to Treebank: On Enhancing Hypertext Grammars with Grammar Engineering and Treebank Search, In Nordhoff, Sebastian (ed), Electronic Grammaticography, University of Hawai'i Press, Honolulu, USA, pp. 179–206.
• Liao, Yang, Masud Moshtaghi, Bo Han, Shanika Karunasekera, Ramamohanarao Kotagiri, Timothy Baldwin, Aaron Harwood and Philippa Pattison (2012) Mining Micro-Blogs: Opportunities and Challenges, In Ajith Abraham (eds.) Computational Social Networks: Mining and Visualization, Springer: London, UK, pp. 129–159.
• Baldwin, Timothy and Su Nam Kim (2010) Multiword Expressions, in Nitin Indurkhya and Fred J. Damerau (eds.) Handbook of Natural Language Processing, Second Edition, CRC Press, Boca Raton, USA, pp. 267–292.
• Baldwin, Timothy, John Beavers, Leonoor van der Beek, Francis Bond, Dan Flickinger and Ivan A. Sag (2006) In Search of a Systematic Treatment of Determinerless PPs, In Patrick Saint-Dizier (ed.) Computational Linguistics Dimensions of Syntax and Semantics of Prepositions, Springer, pp. 163–180.
• Baldwin, Timothy (2006) Distributional Similarity and Preposition Semantics, In Patrick Saint-Dizier (ed.) Computational Linguistics Dimensions of Syntax and Semantics of Prepositions, Springer, pp. 197–210.
• Baldwin, Timothy, John Beavers, Emily M. Bender, Dan Flickinger, Ara Kim and Stephan Oepen (2005) Beauty and the Beast: What running a broad-coverage precision grammar over the BNC taught us about the grammar – and the corpus, In Linguistic Evidence: Empirical, Theoretical, and Computational Perspectives, Mouton de Gruyter, pp. 49–69.

 

Top-tier international conference papers

• Kaneko, Masahiro and Timothy Baldwin (to appear) In-Context Learning as Implicit Policy Gradient, In Proceedings of the Third Conference on Language Modeling (COLM 2026), San Francisco, USA.
• Geng, Yilin, Haonan Li, Honglin Mu, Xudong Han, Timothy Baldwin, Omri Abend, Eduard Hovy and Lea Frermann (2026) Control Illusion: The Failure of Instruction Hierarchies in Large Language Models, In Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26), Singapore, pp. 30816—30824.
• Wang, Renxi, Honglin Mu, Liqun Ma, Lizhi Lin, Yunlong Feng, Timothy Baldwin, Xudong Han and Haonan Li (2026) SCALAR: Scientific Citation-based Live Assessment of Long-context Academic Reasoning, In Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026), Rabat, Morocco, pp. 7817—7830.
• Xing, Rui, Preslav Nakov, Timothy Baldwin and Jey Han Lau (2026) COMMUNITYNOTES: A Dataset for Exploring the Helpfulness of Fact-Checking Explanations, In Findings of EACL 2026, Rabat, Morocco, pp. 1390—1411.
• Inoue, Go, Bashar Alhafni, Nizar Habash and Timothy Baldwin (2026) Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM Benchmarks, In Findings of EACL 2026, Rabat, Morocco, pp. 426—442.
• Kurniawan, Kemal, Meladel Mistica, Timothy Baldwin and Jey Han Lau (2026) On the Interplay between Human Label Variation and Model Fairness, In Findings of EACL 2026, Rabat, Morocco, pp. 967—976.
• Kaneko, Masahiro, Ayana Niwa and Timothy Baldwin (2026) JailNewsBench: Multi-Lingual and Regional Benchmark for Fake News Generation under Jailbreak Attacks, In Proceedings of the Fourteenth International Conference on Learning Representations (ICLR 2026), Rio de Janeiro, Brazil.
• Kaneko, Masahiro, Danushka Bollegala and Timothy Baldwin (2026) A Multilingual Social Bias Benchmark Incorporating Thinking Processes, In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), San Diego, USA, pp. 47726—47741.
• Ni, Jingwei, Ekaterina Fadeeva, Tianyi Wu, Mubashara Akhtar, Jiaheng Zhang, Elliott Ash, Markus Leippold, Timothy Baldwin, See-Kiong Ng, Artem Shelmanov and Mrinmaya Sachan (2026) Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models, In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), San Diego, USA, pp. 11667—11689.
• Fadeeva, Ekaterina, Aleksandr Rubashevskii, Dzianis Piatrashyn, Roman Vashurin, Shehzaad Dhuliawala, Artem Shelmanov, Timothy Baldwin, Preslav Nakov, Mrinmaya Sachan and Maxim Panov (2026) Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval-Augmented Generation, In ACL 2026 Findings, San Diego, USA, pp. 6814—6836.
• Rodkin, Ivan, Daniil Orel, Konstantin Smirnov, Arman Bolatov, Bilal Elbouardi, Besher Hassan, Yuri Kuratov, Aydar Bulatov, Preslav Nakov, Timothy Baldwin, Artem Shelmanov and Mikhail Burtsev (2026) Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling, In ACL 2026 Findings, San Diego, USA.
• Smirnov, Vladislav, Quang-Chieu Nguyen, Sergey Senichev, Minh Ngoc Ta, Ekaterina Fadeeva, Artem Vazhentsev, Daria Galimzianova, Nikolai Rozanov, Viktor Mazanov, Jingwei Ni, Tianyi Wu, Igor Kiselev, Mrinmaya Sachan, Iryna Gurevych, Preslav Nakov, Timothy Baldwin and Artem Shelmanov (2026) ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning, In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026): Demo Track, San Diego, USA, pp. 715—727.
• Dasgupta, Sayantan, Trevor Cohn and Timothy Baldwin (2026) Don't Ignore the Tail: Decoupled Distillation Produces Top Maths Students on an Academic Budget, In Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), Seoul, Republic of Korea.
• Artem Vazhentsev, Lyudmila Rvanova, Gleb Kuzmin, Ekaterina Fadeeva, Ivan Lazichny, Alexander Panchenko, Maxim Panov, Mrinmaya Sachan, Preslav Nakov, Timothy Baldwin and Artem Shelmanov (2026) Efficient Hallucination Detection for LLMs Using Uncertainty-Aware Attention Heads, In Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), Seoul, Republic of Korea.
• Kuribayashi, Tatsuki and Timothy Baldwin (2025) Does Vision Accelerate Hierarchical Generalization in Neural Language Learners?, In Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025), Abu Dhabi, UAE, pp. 1865—1879.
• Kaneko, Masahiro, Danushka Bollegala and Timothy Baldwin (2025) The Gaps between Fine Tuning and In-context Learning in Bias Evaluation and Debiasing, In Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025), Abu Dhabi, UAE, pp. 2758—2764.
• Vallejo, Gisela, Christine de Kock, Timothy Baldwin and Lea Frermann (2025) Human Interest Framing across Cultures: A Case Study on Climate Change, In Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025), Abu Dhabi, UAE, pp. 11380—11398.
• Li, Haonan, Xudong Han, Hao Wang, Yuxia Wang, Minghan Wang, Rui Xing, Yilin Geng, Zenan Zhai, Preslav Nakov and Timothy Baldwin (2025) Loki: An Open-Source Tool for Fact Verification, In Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025): System Demonstrations, Abu Dhabi, UAE, pp. 28—36.
• Maaz, Muhammad, Hanoona Rasheed, Abdelrahman Shaker, Salman Khan, Hisham Cholakal, Rao M. Anwer, Tim Baldwin, Michael Felsberg, Fahad S. Khan (2025) PALO: A Polyglot Large Multimodal Model for 5B People, In Proceedings of the 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, USA.
• Wang, Renxi, Xudong Han, Lei Ji, Shu Wang, Timothy Baldwin and Haonan Li (2025) ToolGen: Unified Tool Retrieval and Calling via Generation, In Proceedings of the Thirtheenth International Conference on Learning Representations (ICLR 2025), Singapore.
• Vazhentsev, Artem, Lyudmila Rvanova, Ivan Lazichny, Alexander Panchenko, Maxim Panov, Timothy Baldwin and Artem Shelmanov (2025) Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models, In Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2025), Albuquerque, New Mexico, pp. 2246—2262.
• Xing, Rui, Timothy Baldwin and Jey Han Lau (2025) Evaluating Evidence Attribution in Generated Fact Checking Explanations, In Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2025), Albuquerque, New Mexico, pp. 5475—5496.
• Ashraf, Yasser, Yuxia Wang, Bin Gu, Preslav Nakov and Timothy Baldwin (2025) Arabic Dataset for LLM Safeguard Evaluation, In Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2025), Albuquerque, New Mexico, pp. 5529—5546.
• Wang, Renxi, Xudong Han, Yixuan Zhang, Timothy Baldwin and Haonan Li (2025) NAT: Enhancing Agent Tuning with Negative Samples, In Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2025), Albuquerque, New Mexico, pp. 7385—7398.
• Kuzmin, Gleb, Neemesh Yadav, Ivan Smirnov, Timothy Baldwin and Artem Shelmanov (2025) Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models, In Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2025), Albuquerque, New Mexico, pp. 95—107.
• Li, Haonan, Xudong Han, Zenan Zhai, Honglin Mu, Hao Wang, Zhenxuan Zhang, Yilin Geng, Shom Lin, Renxi Wang, Artem Shelmanov, Xiangyu Qi, Yuxia Wang, Donghai Hong, Youliang Yuan, Meng Chen, Haoqin Tu, Fajri Koto, Cong Zeng, Tatsuki Kuribayashi, Rishabh Bhardwaj, Bingchen Zhao, Yawen Duan, Yi Liu, Emad A. Alghamdi, Yaodong Yang, Yinpeng Dong, Soujanya Poria, Pengfei Liu, Zhengzhong Liu, Hector Xuguang Ren, Eduard Hovy, Iryna Gurevych, Preslav Nakov, Monojit Choudhury and Timothy Baldwin (2025) Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability, In Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2025) Demo Track, Albuquerque, New Mexico.
• Goloburda, Maiya, Nurkhan Laiyk, Diana Turmakhan, Yuxia Wang, Mukhammed Togmanov, Jonibek Mansurov, Askhat Sametov, Nurdaulet Mukhituly, Minghan Wang, Daniil Orel, Zain Muhammad Mujahid, Fajri Koto, Timothy Baldwin and Preslav Nakov (2025) Qorǵau: Evaluating Safety in Kazakh-Russian Bilingual Contexts, In Findings of the Association for Computational Linguistics: ACL 2025, pp. 9765—9784.
• Kaneko, Masahiro, Danushka Bollegala and Timothy Baldwin (2025) Eagle: Ethical Dataset Given from Real Interactions, In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025), Montreal, Canada, pp. 9737—9745.
• Yang, Jinrui, Xudong Han and Timothy Baldwin (2025) Demographics and Democracy: Benchmarking LLMs’ Gender Bias and Political Leaning in European Parliament, In Proceedings of the 8th International Conference on Natural Language and Speech Processing (ICNLSP 2025), Odense, Denmark, pp. 416—439.
• Almheiri, Saeed, Rania Elbadry, Mena Attia, Chenxi Wang, Preslav Nakov, Timothy Baldwin and Fajri Koto (to appear) Cross-Cultural Transfer of Commonsense Reasoning in LLMs: Evidence from the Arab World, In Findings of the Association for Computational Linguistics: EMNLP 2025, pp. 4593—4614.
• Kaneko, Masahiro, Alham Fikri Aji and Timothy Baldwin (2025) Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models, In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), Suzhou, China, pp. 20096—20115.
• Mullappilly, Sahal Shaji, Mohammed Irfan Kurpath, Sara Pieri, Saeed Yahya Alseiari, Shanavas Cholakkal, Khaled M Aldahmani, Fahad Shahbaz Khan, Rao Muhammad Anwer, Salman Khan, Timothy Baldwin and Hisham Cholakkal (2025) BiMediX2: Bio-Medical EXpert LMM for Diverse Medical Modalities, In Findings of the Association for Computational Linguistics: EMNLP 2025, pp. 14051—14071.
• Kaneko, Masahiro and Timothy Baldwin (2025) Investigating How Pre-training Data Leakage Affects Models' Reproduction and Detection Capabilities, In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), Suzhou, China, pp. 23556—23566.
• Vazhentsev, Artem, Ekaterina Fadeeva, Rui Xing, Gleb Kuzmin, Ivan Lazichny, Alexander Panchenko, Preslav Nakov, Timothy Baldwin, Maxim Panov and Artem Shelmanov (2025) Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models, In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), Suzhou, China, pp. 35661—35682.
• Shelmanov, Artem, Ekaterina Fadeeva, Akim Tsvigun, Ivan Tsvigun, Zhuohan Xie, Igor Kiselev, Nico Daheim, Caiqi Zhang, Artem Vazhentsev, Mrinmaya Sachan, Preslav Nakov and Timothy Baldwin (2025) A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs, In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), Suzhou, China, pp. 35700—35719.
• Kaneko, Masahiro and Timothy Baldwin (2025) Bits Leaked per Query: Information-Theoretic Bounds for Adversarial Attacks on LLMs, In Proceedings of NeurIPS 2025.
• Kaneko, Masahiro, Zeerak Talat and Timothy Baldwin (to appear) Online Learning Defense against Iterative Jailbreak Attacks via Prompt Optimization, In Proceedings of the International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics, 2025 (IJCNLP-AACL 2025), Mumbai, India.
• Wang, Yuxia, Haonan Li, Xudong Han, Preslav Nakov and Timothy Baldwin (2024) Do-Not-Answer: Evaluating Safeguards in LLMs, In Findings of EACL, pp. 896—911.
• Truong, Thinh Hung, Yulia Otmakhova, Trevor Cohn, Karin Verspoor and Timothy Baldwin (2024) Revisiting subword tokenization: A case study on affixal negation in large language models, In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2024), Mexico City, Mexico, pp. 5082–5095.
• Liu, Chen Cecilia, Fajri Koto, Timothy Baldwin and Iryna Gurevych (2024) Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings, In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2024), Mexico City, Mexico, pp. 2016–2039.
• Kuribayashi, Tatsuki, Yohei Oseki, Timothy Baldwin (2024) Psychometric Predictive Power of Large Language Models, In Findings of NAACL, Mexico City, Mexico, pp. 1983–2005.
• Wang, Yuxia, Zenan Zhai, Haonan Li, Xudong Han, Shom Lin, Zhenxuan zhang, Angela Jingru Zhao, Preslav Nakov and Timothy Baldwin (2024) A Chinese Dataset for Evaluating the Safeguards in Large Language Models, In Findings of ACL 2024, Bangkok, Thailand, pp. 3106—3119.
• Koto, Fajri, Haonan Li, Sara Shatnawi, Jad Doughman, Abdelrahman Boda Sadallah, Aisha Alraeesi, Khalid Almubarak, Zaid Alyafeai, Neha Sengupta, Shady Shehata, Nizar Habash, Preslav Nakov and Timothy Baldwin (2024) ArabicMMLU: Assessing Massive Multitask Language Comprehension in Arabic, In Findings of ACL 2024, Bangkok, Thailand, pp. 5622—5640.
• Fadeeva, Ekaterina, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov and Maxim Panov (2024) Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification, In Findings of ACL 2024, Bangkok, Thailand, pp. 9367—9385.
• Li, Haonan, Yixuan Zhang, Fajri Koto, Yifei Yang, Hai Zhao, Yeyun Gong, Nan Duan and Timothy Baldwin (2024) CMMLU: Measuring massive multitask language understanding in Chinese, In Findings of ACL 2024, Bangkok, Thailand, pp. 11260—11285.
• Kuribayashi, Tatsuki, Ryo Ueda, Ryo Yoshida, Yohei Oseki, Ted Briscoe and Timothy Baldwin (2024) Emergent Word Order Universals from Cognitively-Motivated Language Models, In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand, pp. 14522—14543.
• Liu, Zhengzhong, Aurick Qiao, Willie Neiswanger, Hongyi Wang, Bowen Tan, Tianhua Tao, Junbo Li, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard Fan, Yi Gu, Victor Miller, Yonghao Zhuang, Guowei He, Haonan Li, Fajri Koto, Liping Tang, Nikhil Ranjan, Zhiqiang Shen, Roberto Iriondo, Cun Mu, Zhiting Hu, Mark Schulze, Preslav Nakov, Timothy Baldwin and Eric P. Xing (2024) LLM360: Towards Fully Transparent Open-Source LLMs, In Proceedings of the First Conference on Language Modeling, Philadelphia, USA.
• Pieri, Sara, Sahal Shaji Mullappilly, Fahad Shahbaz Khan, Rao Muhammad Anwer, Salman Khan, Timothy Baldwin, Hisham Cholakkal (2024) BiMediX: Bilingual Medical Mixture of Experts LLM, Findings of the Association for Computational Linguistics: EMNLP 2024, pp. 16984—17002.
• Yun, Sukmin, Haokun Lin, Rusiru Thushara, Mohammad Qazim Bhat, Yongxin Wang, Zutao Jiang, Mingkai Deng, Jinhong Wang, Tianhua Tao, Junbo Li, Haonan Li, Preslav Nakov, Timothy Baldwin, Zhengzhong Liu, Eric P. Xing, Xiaodan Liang, Zhiqiang Shen (2024) Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs, In Proceedings of NeurIPS 2024.
• Kuzmin, Gleb, Artem Vazhentsev, Artem Shelmanov, Xudong Han, Simon Suster, Maxim Panov, Alexander Panchenko and Timothy Baldwin (2023) Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability? In Proceedings of the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 13th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2023), Bali, Indonesia, pp. 744—770.
• Fang, Biaoyan, Trevor Cohn, Timothy Baldwin and Lea Frermann (2023) It's not only What You Say, It's also Who It's Said to: Counterfactual Analysis of Interactive Behavior in the Courtroom, In Proceedings of the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 13th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2023), Bali, Indonesia, pp. 197—207.
• Li, Haonan, Martin Tomko and Timothy Baldwin (2023) Location Aware Modular Biencoder for Tourism Question Answering, In Findings of the Association for Computational Linguistics: AACL-IJCNLP 2023, Bali, Indonesia, pp. 95—109.
• Koto, Fajri, Nurul Aisyah, Haonan Li and Timothy Baldwin (2023) Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU, In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, pp. 12359—12374.
• Fang, Biaoyan, Trevor Cohn, Timothy Baldwin and Lea Frermann (2023) More than Votes? Voting and Language based Partisanship in the US Supreme Court, In Findings of EMNLP 2023, pp. 4604—4614.
• Wada, Takashi, Timothy Baldwin and Jey Han Lau (2023) Unsupervised Lexical Simplification with Context Augmentation, In Findings of EMNLP 2023, pp. 9368—9379.
• Huang, Yichen and Timothy Baldwin (2023) Robustness Tests for Automatic Machine Translation Metrics with Adversarial Attacks, In Findings of EMNLP 2023, pp. 5126—5135.
• Fadeeva, Ekaterina, Roman Vashurin, Akim Tsvigun, Artem Vazhentsev, Sergey Petrakov, Kirill Fedyanin, Daniil Vasilev, Elizaveta Goncharova, Alexander Panchenko, Maxim Panov, Timothy Baldwin and Artem Shelmanov (2023) LM-Polygraph: Uncertainty Estimation for Language Models, In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) Demo Session, Singapore, pp. 446—461.
• Cahyawijaya, Samuel, Holy Lovenia, Alham Fikri Aji, Genta Indra Winata, Bryan Wilie, Fajri Koto, Rahmad Mahendra, Christian Wibisono, Ade Romadhony, Karissa Vincentio, Jennifer Santoso, David Moeljadi, Cahya Wirawan, Frederikus Hudi, Muhammad Satrio Wicaksono, Ivan Halim Parmonangan, Ika Alfina, Ilham Firdausi Putra, Samsul Rahmadani, Yulianti Oenang, Ali Akbar Septiandri, James Jaya, Kaustubh Dhole, Arie Suryani, Rifki Afina Putri, Dan Su, Keith David Stevens, Made Nindyatama Nityasya, Muhammad Farid Adilazuarda, Ryan Ignatius Hadiwijaya, Ryandito Diandaru, Tiezheng Yu, Vito Ghifari, Wenliang Dai, Yan Xu, Dyah Inastra Damapuspita, Haryo Akbarianto Wibowo, Cuk Tho, Ichwanul Muslim Karo Karo, Tirana Noor Fatyanosa, Ziwei Ji, Graham Neubig, Timothy Baldwin, Sebastian Ruder, Pascale Fung, Herry Sujaini, Sakriani Sakti and Ayu Purwarianti (2023) NusaCrowd: Open Source Initiative for Indonesian NLP Resources, In Findings of ACL
• Wada, Takashi, Yuji Matsumoto, Timothy Baldwin and Jey Han Lau (2023) Unsupervised Paraphrasing of Multiword Expressions, In Findings of ACL
• Dasgupta, Sayantan, Trevor Cohn and Timothy Baldwin (2023) Improving Model-Agnostic Distillation for Large Language Models, In Findings of ACL
• Truong, Thinh Hung, Timothy Baldwin, Karin Verspoor and Trevor Cohn (to appear) Language Models are not Naysayers: An Analysis of Language Models on Negation Benchmarks, In Proceedings of the Twelfth Joint Conference on Lexical and Computational Semantics (*SEM 2023), Toronto, Canada.
• Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Rahmad Mahendra, Fajri Koto, Ade Romadhony, Kemal Maulana Kurniawan, David Moeljadi, Radityo Eko Prasojo, Pascale Fung, Timothy Baldwin, Jey Han Lau, Rico Sennrich and Sebastian Ruder (2023) NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages, In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), Dubrovnik, Croatia, pp. 815—834.
• Han, Xudong, Timothy Baldwin and Trevor Cohn (2023) Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP, In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), Dubrovnik, Croatia, pp. 297—312.
• Han, Xudong, Timothy Baldwin, Trevor Cohn (2023) Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation, In Proceedings of the Eleventh International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda.
• Otmakhova, Yulia, Karin Verspoor, Timothy Baldwin and Jey Han Lau (2022) The patient is more dead than alive: exploring the current state of the multi-document summarisation of the biomedical literature, In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), pp. 5098—5111.
• Aji, Alham Fikri, Genta Indra Winata, Fajri Koto, Samuel Cahyawijaya, Ade Romadhony, Rahmad Mahendra, Kemal Kurniawan, David Moeljadi, Radityo Eko Prasojo, Timothy Baldwin, Jey Han Lau and Sebastian Ruder (2022) One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia, In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), pp. 7226—7249.
• Fang, Biaoyan, Timothy Baldwin and Karin Verspoor (2022) What does it take to bake a cake? The RecipeRef corpus and anaphora resolution in procedural text, In Findings of ACL, 3481—3495.
• Li, Yuan, Biaoyan Fang, Jiayuan He, Hiyori Yoshikawa, Saber A Akhondi, Christian Druckenbrodt, Camilo Thorne, Zenan Zhai, Zubair Afzal, Trevor Cohn, Timothy Baldwin and Karin Verspoor (2022) The ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents, In Proceedings of the European Conference on Information Retrieval (ECIR 2022), pp. 400—407, Stavanger, Norway.
• Li, Haonan, Martin Tomko, Maria Vasardani and Timothy Baldwin (2022) MultiSpanQA: A Dataset for Multi-Span Question Answering, In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2022), pp. 1250—1260.
• Truong, Thinh Hung , Timothy Baldwin, Trevor Cohn and Karin Verspoor (2022) Improving negation detection with negation-focused pre-training, In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2022), pp. 4188—4193.
• Shen, Aili, Xudong Han, Trevor Cohn, Timothy Baldwin and Lea Frermann (2022) Optimising Equal Opportunity Fairness in Model Training, In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2022), pp. 4073—4084.
• Li, Haonan, Yameng Huang, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin and Nan Duan (2022) CULG: Commercial Universal Language Generation, In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2022), Industry Track, pp. 112—120.
• Koto, Fajri, Timothy Baldwin and Jey Han Lau (2022) LipKey: A Large-Scale News Dataset for Absent Keyphrases Generation and Abstractive Summarization, In Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022), Gyeongju, Republic of Korea, pp. 3427—3437.
• Wada, Takashi, Timothy Baldwin, Yuji Matsumoto and Jey Han Lau (2022) Unsupervised Lexical Substitution with Decontextualised Embeddings, In Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022), Gyeongju, Republic of Korea, pp. 4172—4185.
• Wang, Yuxia, Karin Verspoor and Timothy Baldwin (2022) Noisy Label Regularisation for Textual Regression, In Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022), Gyeongju, Republic of Korea, pp. 4228—4240.
• Shen, Aili, Xudong Han, Trevor Cohn, Timothy Baldwin and Lea Frermann (2022) Does Representational Fairness Imply Empirical Fairness? In Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, virtual, pp. 81—95.
• Han, Xudong, Aili Shen, Trevor Cohn, Timothy Baldwin and Lea Frermann (2022) Systematic Evaluation of Predictive Fairness, In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2022), virtual, pp. 68—81.
• Truong, Thinh Hung, Yulia Otmakhova, Timothy Baldwin, Trevor Cohn, Jey Han Lau and Karin Verspoor (2022) Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation, In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2022), virtual, pp. 883—894.
• Han, Xudong, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin and Trevor Cohn (2022) FairLib: A Unified Framework for Assessing and Improving Fairness, In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022) Demo Session, Abu Dhabi, pp. 60—71.
• Han, Xudong, Timothy Baldwin and Trevor Cohn (2022) Balancing out Bias: Achieving Fairness Through Balanced Training, In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi, UAE, pp. 11335—11350.
• Otmakhova, Yulia, Karin Verspoor, Timothy Baldwin, Antonio Jimeno Yepes and Jey Han Lau (2022) M3: Multi-level dataset for Multi-document summarisation of Medical studies, In Findings of EMNLP 2022, Abu Dhabi, UAE.
• Koto, Fajri, Jey Han Lau and Timothy Baldwin (2021) IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization, In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), Online and Punta Cana, Dominican Republic, pp. 10660—10668.
• Subramanian, Shivashankar, Afshin Rahimi, Timothy Baldwin, Trevor Cohn and Lea Frermann (2021) Fairness-aware Class Imbalanced Learning, In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), Online and Punta Cana, Dominican Republic, pp. 2045—2051.
• Subramanian, Shivashankar, Xudong Han, Timothy Baldwin, Trevor Cohn and Lea Frermann (2021) Evaluating Debiasing Techniques for Intersectional Biases , In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), Online and Punta Cana, Dominican Republic, pp. 2492—2498.
• Li, Haonan, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin and Nan Duan (2021) KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning , In Findings of EMNLP, Online and Punta Cana, Dominican Republic, pp. 2918—2928.
• Rogers, Anna, Timothy Baldwin and Kobi Leins (2021) 'Just What do You Think You're Doing, Dave?' A Checklist for Responsible Data Use in NLP, In Findings of EMNLP, Online and Punta Cana, Dominican Republic, pp. 4821—4833.
• Shen, Aili and Timothy Baldwin (2021) A Simple yet Effective Method for Sentence Ordering, In Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2021), Singapore and online, pp. 154—160.
• Koto, Fajri, Jey Han Lau and Timothy Baldwin (2021) Evaluating the Efficacy of Summarization Evaluation across Languages, Findings of ACL, pp. 801—812.
• Han, Xudong, Timothy Baldwin and Trevor Cohn (2021) Decoupling Adversarial Training for Fair NLP, Findings of ACL, pp. 471—477.
• Bhatia, Shraey, Jey Han Lau and Timothy Baldwin (2021) Automatic Classification of Neutralization Techniques in the Narrative of Climate Change Scepticism, In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2021), virtual.
• Koto, Fajri, Jey Han Lau and Timothy Baldwin (2021) Discourse Probing of Pretrained Language Models, In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2021), virtual.
• Han, Xudong, Timothy Baldwin and Trevor Cohn (2021) Diverse Adversaries for Mitigating Bias in Training, In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), virtual, pp. 2760—2765.
• Koto, Fajri, Jey Han Lau and Timothy Baldwin (2021) Top-down Discourse Parsing via Sequence Labelling, In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), virtual, pp. 715-726.
• Fang, Biaoyan, Christian Druckenbrodt, Saber A Akhondi, Jiayuan He, Timothy Baldwin and Karin Verspoor (2021) ChEMU-Ref: A Corpus for Modeling Anaphora Resolution in the Chemical Domain, In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), virtual, pp. 1362—1375.
• Ma, Chunpeng, Aili Shen, Hiyori Yoshikawa, Tomoya Iwakura, Daniel Beck and Timothy Baldwin (2021) On the (In)Effectiveness of Images for Text Classification, In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), virtual, pp. 42—48.
• He, Jiayuan, Biaoyan Fang, Hiyori Yoshikawa, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zubair Afzal, Zenan Zhai, Lawrence Cavedon, Trevor Cohn, Timothy Baldwin and Karin Verspoor (2021) ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents, In Proceedings of the 43rd European Conference on Information Retrieval (ECIR 2021).
• Verspoor, Karin, Simon Šuster, Yulia Otmakhova, Shevon Mendis, Zenan Zhai, Biaoyan Fang, Jey Han Lau, Timothy Baldwin, Antonio Jimeno-Yepes and David Martinez (2021) Brief description of COVID-SEE: The Scientific Evidence Explorer for COVID-19 Related Research, In Proceedings of the 43rd European Conference on Information Retrieval (ECIR 2021).
• Koto, Fajri, Jey Han Lau and Timothy Baldwin (2020) Liputan6: A Large-scale Indonesian Dataset for Text Summarisation, In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2020), virtual, pp. 598—608.
• Koto, Fajri, Afshin Rahimi, Jey Han Lau and Timothy Baldwin (2020) IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP, In Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), virtual, pp. 757—770.
• Rahimi, Afshin, Timothy Baldwin and Karin Verspoor (2020) WikiUMLS: Aligning UMLS to Wikipedia via Cross-lingual Neural Ranking, In Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), virtual, pp. 5957—5962.
• Li, Haonan, Maria Vasardani, Martin Tomko and Timothy Baldwin (2020) Target Word Masking for Location Metonymy Resolution, In Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), virtual, pp. 3696—3707.
• Mathur, Nitika, Timothy Baldwin and Trevor Cohn (2020) Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics, In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), pp. 4984—4997.
• Leins, Kobi, Jey Han Lau and Timothy Baldwin (2020) Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis?, In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), pp. 2908—2913.
• Nguyen, Dat Quoc, Zenan Zhai, Hiyori Yoshikawa, Biaoyan Fang, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Saber A. Akhondi, Trevor Cohn, Timothy Baldwin and Karin Verspoor (2020) ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents. In Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020), Lisbon, Portugal.
• Subramanian, Shivashankar, Trevor Cohn and Timothy Baldwin (2019) Deep Ordinal Regression for Pledge Specificity Prediction, In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), Hong Kong, pp. 1729—1740.
• Mathur, Nitika, Timothy Baldwin and Trevor Cohn (2019) Putting Evaluation in Context: Contextual Embeddings improve Machine Translation Evaluation, In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, pp. 2799—2808.
• Li, Yitong, Timothy Baldwin and Trevor Cohn (2019) Semi-supervised Stochastic Domain Adaptation using Variational Inference, In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, pp. 1923—1934.
• Hamzei, Ehsan, Haonan Li, Maria Vasardani, Timothy Baldwin, Stephan Winter and Martin Tomko (2019) Place questions and human-generated answers: A data analysis approach, In Proceedings of the 22nd Conference of the Association of Geographic Information Laboratories in Europe (AGILE 2019), Limassol, Cyprus, pp. 3—19.
• Shen, Aili, Bahar Salehi, Timothy Baldwin and Jianzhong Qi (2019) A Joint Model for Multimodal Document Quality Assessment, In Proceedings of the 2019 Joint Conference on Digital Libraries (JCDL 2019), Urbana-Champaign, USA.
• Subramanian, Shivashankar, Trevor Cohn and Timothy Baldwin (2019) Target Based Speech Act Classification in Political Campaign Text, In Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019), Minneapolis, USA, pp. 273—282.
• Vylomova, Ekaterina, Ryan Cotterell, Trevor Cohn, Timothy Baldwin and Jason Eisner (2019) Contextualization of Morphological Inflection, In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2019), Minneapolis, USA, pp. 2018—2024.
• Salehi, Bahar, Fei Liu, Timothy Baldwin and Wilson Wong (2018) Multitask Learning for Query Segmentation in Job Search, In Proceedings of the 8th International Conference on the Theory of Information Retrieval (ICTIR 2018), Tianjin, China, pp. 179—182.
• Ye, Zhe, Fang Li and Timothy Baldwin (2018) Encoding Sentiment Information into Word Vectors for Sentiment Analysis, In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, USA.
• Lau, Jey Han, Trevor Cohn, Timothy Baldwin, Julian Brooke and Adam Hammond (2018) Deep-speare: A joint neural model of poetic language, meter and rhyme, In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Melbourne, Australia, pp. 1948—1958.
• Rahimi, Afshin, Trevor Cohn and Timothy Baldwin (2018) Semi-supervised User Geolocation via Graph Convolutional Networks, In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Melbourne, Australia, pp. 2009—2019.
• Subramanian, Shivashankar, Timothy Baldwin and Trevor Cohn (2018) Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model, In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Melbourne, Australia, pp. 182—188.
• Li, Yitong, Trevor Cohn and Timothy Baldwin (2018) Towards Robust and Privacy-preserving Text Representations, In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Short Papers (ACL 2018), Melbourne, Australia, pp. 25—30.
• Liu, Fei, Trevor Cohn and Timothy Baldwin (2018) Narrative Modeling with Memory Chains and Semantic Supervision, In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Melbourne, Australia, pp. 278—284.
• Salehi, Bahar, Damiano Spina, Alistair Moffat, Sargol Sadeghi, Falk Scholer, Timothy Baldwin, Lawrence Cavedon, Mark Sanderson, Wilson Wong and Justin Zobel (2018) A Living Lab Study of Query Amendment in Job Search, In Proceedings of 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), Ann Arbor, USA, pp. 905—908.
• Hoogeveen, Doris, Andrew Bennett, Yitong Li, Karin Verspoor and Timothy Baldwin (2018) Detecting Misflagged Duplicate Questions in Community Question-Answering Archives, In Proceedings of the 12th International AAAI Conference on Web and Social Media (ICWSM-18), Stanford, USA, pp. 112—120.
• Subramanian, Shivashankar, Trevor Cohn and Timothy Baldwin (2018) Hierarchical Structured Model for Fine-to-coarse Manifesto Text Analysis, In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2018), New Orleans, USA, pp. 1964—1974.
• Liu, Fei, Trevor Cohn and Timothy Baldwin (2018) Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis, In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2018): Short Papers, New Orleans, USA, pp. 278—283.
• Li, Yitong, Trevor Cohn and Timothy Baldwin (2018) What's in a Domain? Learning Domain-Robust Text Representations Using Adversarial Training, In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2018): Short Papers, New Orleans, USA, pp. 474—479.
• Liu, Fei, Timothy Baldwin and Trevor Cohn (2017) Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields, In Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP 2017), Taipei, Taiwan.
• Rahimi, Afshin, Trevor Cohn and Timothy Baldwin (2017) Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks, In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Copenhagen, Denmark, pp. 167—176.
• Mathur, Nitika, Timothy Baldwin and Trevor Cohn (2017) Sequencing Bias in NLP Annotations, In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Copenhagen, Denmark, pp. 2850—2855.
• Ma, Qingsong, Yvette Graham, Timothy Baldwin and Qun Liu (2017) Further Investigation into Reference Bias in Monolingual Evaluation of Machine Translation, In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Copenhagen, Denmark, pp. 2466—2475.
• Bhatia, Shraey, Jey Han Lau and Timothy Baldwin (2017) An Automatic Approach for Document-level Topic Model Evaluation, In Proceedings of the Twenty First Conference on Computational Natural Language Learning (CoNLL 2017), Vancouver, Canada, pp. 206—215.
• Lau, Jey Han, Timothy Baldwin and Trevor Cohn (2017) Topically Driven Neural Language Model, In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vancouver, Canada, pp. 355—365.
• Rahimi, Afshin, Trevor Cohn and Timothy Baldwin (2017) A Neural Model for User Geolocation and Lexical Dialectology, In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vancouver, Canada, pp. 207—216.
• Subramanian, Shivashankar, Julian Brooke, Timothy Baldwin, and Trevor Cohn (2017) Pairwise Webpage Coreference Classification using Distant Supervision, In Proceedings of the 26th International World Wide Web Conference (WWW 2017), Perth, Australia, pp. 841—842.
• Sorodoc, Ionut, Jey Han Lau, Nikolaos Aletras and Timothy Baldwin (2017) Multimodal Topic Labelling, In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017), Valencia, Spain, pp. 701—706.
• Vylomova, Ekaterina, Ryan Cotterell, Timothy Baldwin and Trevor Cohn (2017) Context-Aware Prediction of Derivational Word-forms, In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017), Valencia, Spain, pp. 118—124.
• Graham, Yvette, Timothy Baldwin, Qun Liu, Qingsong Ma, Carla Parra and Carolina Scarton (2017) Improving Evaluation of Document-level Machine Translation Quality Estimation, In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017), Valencia, Spain, pp. 356—361.
• Li, Yitong , Trevor Cohn and Timothy Baldwin (2017) Robust Training under Linguistic Adversity, In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017), Valencia, Spain, pp. 21—27.
• Salehi, Bahar, Paul Cook and Timothy Baldwin (2016) Determining the Multiword Expression Inventory of a Surprise Language, In Proceedings of the 26th International Conference on Computational Linguistics (COLING 2016), Osaka, Japan, pp. 471–481.
• Bhatia, Shraey, Jey Han Lau and Timothy Baldwin (2016) Automatic Labelling of Topics with Neural Embeddings, In Proceedings of the 26th International Conference on Computational Linguistics (COLING 2016), Osaka, Japan, 953–963.
• Graham, Yvette, Timothy Baldwin, Maria Eskevich, Teresa Lynn and Lamia Tounsi (2016) Is all that Glitters in MT Quality Estimation really Gold Standard? In Proceedings of the 26th International Conference on Computational Linguistics (COLING 2016), Osaka, Japan, pp. 3124–3134.
• Qu, Lizhen, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou and Timothy Baldwin (2016) Named Entity Recognition for Novel Types by Transfer Learning, In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), Austin, USA, pp. 899–905.
• Li, Yitong, Trevor Cohn and Timothy Baldwin (2016) Learning Robust Representations of Text, In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), Austin, USA, pp. 1979–1985.
• Bennett, Andrew, Timothy Baldwin, Jey Han Lau, Diana McCarthy and Francis Bond (2016) LexSemTM: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), Berlin, Germany, pp. 1513–1524.
• Vylomova, Ekaterina, Laura Rimell, Trevor Cohn and Timothy Baldwin (2016) Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), Berlin, Germany, pp. 1671–1682.
• Brooke, Julian, Timothy Baldwin and Adam Hammond (2016) Bootstrapped Text-level Named Entity Recognition for Literature. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), Berlin, Germany, pp. 344–350.
• Rahimi, Afshin, Trevor Cohn and Timothy Baldwin (2016) pigeo: A Python Geotagging Tool. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), Demo Session, Berlin, Germany, pp. 127–132.
• Liu, Fei, Alistair Moffat, Timothy Baldwin and Xiuzhen Zhang (2016) Quit While Ahead: Evaluating Truncated Rankings. In Proceedings of 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016), pp. 953–956, Pisa, Italy.
• Lau, Jey Han and Timothy Baldwin (2016) The Sensitivity of Topic Coherence Evaluation to Topic Cardinality, In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2016), San Diego, USA, pp. 483–487.
• Magdy, Walid, Kareem Darwish, Afshin Rahimi, Norah Abokhodair and Timothy Baldwin (2016) #ISISisNotIslam or #DeportAllMuslims? Predicting Unspoken Views. In Proceedings of the 8th International ACM Web Science Conference 2016 (WebSci 2016), Hannover, Germany, pp. 95–106.
• Kou, Wanqiu, Li Fang and Timothy Baldwin (2015) Automatic Labelling of Topic Models using Word Vectors and Letter Trigram Vectors, in Proceedings of the Eleventh Asian Information Retrieval Societies Conference (AIRS 2015), Brisbane, Australia, pp. 229–240.
• Liang, Huizhi and Timothy Baldwin (2015) A Probabilistic Rating Auto-encoder for Personalized Recommender Systems, in Proceedings of the 24th ACM Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia, pp. 1863–1866.
• Qu, Lizhen, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Nathan Schneider and Timothy Baldwin (2015) Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks, In Proceedings of the Nineteenth Conference on Computational Natural Language Learning (CoNLL 2015), Beijing, China, pp. 83–93.
• Rahimi, Afshin, Trevor Cohn and Timothy Baldwin (2015) Twitter User Geolocation Using a Unified Text and Network Prediction Model, In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and 7th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2015), Beijing, China, pp. 630–636.
• Burford, Clint, Steven Bird and Timothy Baldwin (2015) Collective Document Classification with Implicit Inter-document Semantic Relationships, In Proceedings of *SEM 2015: The Fourth Joint Conference on Lexical and Computational Semantics, Denver, USA, pp. 106–116.
• Rahimi, Afshin, Duy Vu, Trevor Cohn and Timothy Baldwin (2015) Exploiting Text and Network Context for Geolocation of Social Media Users, In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2015), Denver, USA, pp. 1362–1367.
• Salehi, Bahar, Paul Cook and Timothy Baldwin (2015) A Word Embedding Approach to Predicting the Compositionality of Multiword Expressions, In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2015), Denver, USA, pp. 977–983.
• Graham, Yvette, Nitika Mathur and Timothy Baldwin (2015) Accurate Evaluation of Segment-level Machine Translation Metrics, In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2015), Denver, USA, pp. 1183–1191.
• Graham, Yvette and Timothy Baldwin (2014) Testing for Significance of Increased Correlation with Human Judgment, In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), Doha, Qatar.
• Salehi, Bahar, Paul Cook and Timothy Baldwin (2014) Detecting Non-compositional MWE Components using Wiktionary, In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), Doha, Qatar.
• Aletras, Nikolaos, Timothy Baldwin, Jey Han Lau and Mark Stevenson (2014) Representing Topics Labels for Exploring Digital Libraries, In Proceedings of Digital Libraries 2014, London, UK.
• Cook, Paul, Jey Han Lau, Diana McCarthy and Timothy Baldwin (2014) Novel word-sense identification, In Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014), Dublin, Ireland.
• Grigonyte, Gintare and Timothy Baldwin (2014) Automatic Detection of Multilingual Dictionaries on the Web, In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014), Baltimore, USA, pp. 93–98.
• Lau, Jey Han, Paul Cook, Diana McCarthy, Spandana Gella and Timothy Baldwin (2014) Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models, In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014), Baltimore, USA, pp. 259–270.
• Gella, Spandana, Paul Cook and Timothy Baldwin (2014) One Sense per Tweeter ... and Other Lexical Semantic Tales of Twitter, In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2014), volume 2: Short Papers, Gothenburg, Sweden, pp. 215–220.
• Lau, Jey Han, David Newman and Timothy Baldwin (2014) Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality, In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2014), Gothenburg, Sweden, pp. 530–539.
• Salehi, Bahar, Paul Cook and Timothy Baldwin (2014) Using Distributional Similarity of Multi-way Translations to Predict Multiword Expression Compositionality, In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2014), Gothenburg, Sweden, pp. 472–481.
• Graham, Yvette, Timothy Baldwin, Alistair Moffat and Justin Zobel (2014) Is Machine Translation Getting Better over Time?, In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2014), Gothenburg, Sweden, pp. 443–451.
• Baldwin, Timothy, Paul Cook, Marco Lui, Andrew MacKinlay and Li Wang (2013) How Noisy Social Media Text, How Diffrnt Social Media Sources?, In Proceedings of the 6th International Joint Conference on Natural Language Processing (IJCNLP 2013), Nagoya, Japan, pp. 356–364.
• Mistica, Meladel, Jey Han Lau and Timothy Baldwin (2013) Unsupervised Word Class Induction for Under-resourced Languages: A Case Study on Indonesian, In Proceedings of the 6th International Joint Conference on Natural Language Processing (IJCNLP 2013), Nagoya, Japan, pp. 685–691.
• Han, Bo, Paul Cook and Timothy Baldwin (2013) A Stacking-based Approach to Twitter User Geolocation Prediction, In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), Demo Session, Sofia, Bulgaria, pp. 7–12.
• Wang, Li, Su Nam Kim and Timothy Baldwin (2012) The Utility of Discourse Structure in Identifying Resolved Threads in Technical User Forums, In Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012), Mumbai, India, pp. 2739–2756.
• Newman, David, Nagendra Koilada, Jey Han Lau and Timothy Baldwin (2012) Bayesian Text Segmentation for Index Term Identification and Keyphrase Extraction, In Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012), Mumbai, India, pp. 2077–2092.
• Lau, Jey Han, Nigel Collier and Timothy Baldwin (2012) On-line Trend Analysis with Topic Models: #twitter trends detection topic model online, In Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012), Mumbai, India, pp. 1519–1534.
• Han, Bo, Paul Cook and Timothy Baldwin (2012) Geolocation Prediction in Social Media Data by Finding Location Indicative Words, In Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012), Mumbai, India, pp. 1045–1062.
• Han, Bo, Paul Cook and Timothy Baldwin (2012) Automatically Constructing a Normalisation Dictionary for Microblogs, In Proceedings of EMNLP-CoNLL 2012, Jeju, Republic of Korea, pp. 421–432.
• Lui, Marco and Timothy Baldwin (2012) langid.py: An Off-the-shelf Language Identification Tool, In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012), Demo Session, Jeju, Republic of Korea, pp. 25–30.
• MacKinlay, Andrew, Rebecca Dridan, Diana McCarthy and Timothy Baldwin (2012) The Effects of Semantic Annotations on Precision Parse Ranking, In Proceedings of the First Joint Conference on Lexical and Computational Semantics (*SEM 2012), Montreal, Canada, pp. 228–236.
• Fothergill, Richard and Timothy Baldwin (2012) Combining resources for MWE-token classification, In Proceedings of the First Joint Conference on Lexical and Computational Semantics (*SEM 2012), Montreal, Canada, pp. 100–104.
• Nicholson, Jeremy, Trevor Cohn and Timothy Baldwin (2012) Evaluating a Morphological Analyser of Inuktitut, In Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2012), Montreal, Canada, pp. 372–376.
• Baldwin, Timothy, Paul Cook, Bo Han, Aaron Harwood, Shanika Karunasekera and Masud Moshtaghi (2012) A Support Platform for Event Detection using Social Intelligence, In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2012), Demo Session, Avignon, France, pp. 69–72.
• Lau, Jey Han, Paul Cook, Diana McCarthy, David Newman and Timothy Baldwin (2012) Word Sense Induction for Novel Sense Detection, In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2012), Avignon, France, pp. 591–601.
• MacKinlay, Andrew, Rebecca Dridan, Dan Flickinger, Stephan Oepen and Timothy Baldwin (2011) Using External Treebanks to Filter Parse Forests for Parse Selection and Treebanking, In Proceedings of the Fifth International Joint Conference on Natural Language Processing (IJCNLP 2011), Chiang Mai, Thailand, pp. 246–254.
• Lui, Marco and Timothy Baldwin (2011) Cross-domain Feature Selection for Language Identification, In Proceedings of the Fifth International Joint Conference on Natural Language Processing (IJCNLP 2011), Chiang Mai, Thailand, pp. 553–561.
• Fothergill, Richard and Timothy Baldwin (2011) Fleshing it out: A Supervised Approach to MWE-token and MWE-type Classification, In Proceedings of the Fifth International Joint Conference on Natural Language Processing (IJCNLP 2011), Chiang Mai, Thailand, pp. 911–919.
• Wang, Li, Marco Lui, Su Nam Kim, Joakim Nivre and Timothy Baldwin (2011) Predicting Thread Discourse Structure over Technical Web Forums, In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP 2011), Edinburgh, UK, pp. 13–25.
• McIntosh, Tara, Lars Yencken, James R. Curran and Timothy Baldwin (2011) Relation Guided Bootstrapping of Semantic Lexicons, In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL HLT 2011), Portland, USA, pp. 266–270.
• Lau, Jey Han, Karl Grieser, David Newman and Timothy Baldwin (2011) Automatic Labelling of Topic Models, In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL HLT 2011), Portland, USA, pp. 1536–1545.
• Han, Bo and Timothy Baldwin (2011) Lexical Normalisation of Short Text Messages: Makn Sens a #twitter, In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL HLT 2011), Portland, USA, pp. 368–378.
• Burfoot, Clinton, Steven Bird and Timothy Baldwin (2011) Collective Classification of Congressional Floor-Debate Transcripts, In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL HLT 2011), Portland, USA, pp. 1506–1515.
• Yencken, Lars and Timothy Baldwin (2011) Predicting and compensating for lexicon access errors, In Proceedings of the 2011 International Conference on Intelligent User Interfaces, Palo Alto, USA, pp. 185–194.
• Dridan, Rebecca and Timothy Baldwin (2010) Unsupervised Parse Selection for HPSG, In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing (EMNLP 2010), Boston, USA, pp. 694–704.
• Kim, Su Nam, Lawrence Cavedon and Timothy Baldwin (2010) Classifying Dialogue Acts in One-on-one Live Chats, In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing (EMNLP 2010), Boston, USA, pp. 862–871.
• Baldwin, Timothy, Jonathan Pool and Susan M. Colowick (2010) PanLex and LEXTRACT: Translating all Words of all Languages of the World, In Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010), Demo Volume, Beijing, China, pp. 37–40.
• Kim, Su Nam, Timothy Baldwin and Min-Yen Kan (2010) Evaluating N-gram based Evaluation Metrics for Automatic Keyphrase Extraction, In Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010), Beijing, China, pp. 572–580.
• Lau, Jey Han, David Newman, Sarvnaz Karimi and Timothy Baldwin (2010) Best Topic Word Selection for Topic Labelling, In Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010), Posters Volume, Beijing, China, pp. 605–613.
• Kim, Su Nam, Li Wang and Timothy Baldwin (2010) Tagging and Linking Web Forum Posts, In Proceedings of the Fourteenth Conference on Computational Natural Language Learning (CoNLL 2010), Uppsala, Sweden, pp. 192–202.
• Newman, David, Youn Noh, Edmund Talley, Sarvnaz Karimi and Timothy Baldwin (2010) Evaluating Topic Models for Digital Libraries, In Proceedings of the 2010 Joint Conference on Digital Libraries (JCDL), Gold Coast, Australia, pp. 215–224.
• Newman, David, Jey Han Lau, Karl Grieser and Timothy Baldwin (2010) Automatic Evaluation of Topic Coherence, In Proceedings of Human Language Technologies: The 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL HLT 2010), Los Angeles, USA, pp. 100–108.
• Zhang, Yi, Timothy Baldwin, Valia Kordoni and David Martinez (2010) Chart Mining-based Lexical Acquisition with Precision Grammars, In Proceedings of Human Language Technologies: The 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL HLT 2010), Los Angeles, USA, pp. 10–18.
• Baldwin, Timothy and Marco Lui (2010) Language Identification: The Long and the Short of the Matter, In Proceedings of Human Language Technologies: The 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL HLT 2010), Los Angeles, USA, pp. 229–237.
• Yap, Willy and Timothy Baldwin (2009) Experiments on Pattern-based Relation Learning, in Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM 2009), Hong Kong, China, pp. 1657–1660.
• Burfoot, Clint and Timothy Baldwin (2009) Automatic Satire Detection: Are You Having a Laugh?, In Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, Singapore, pp. 161–164.
• Mistica, Meladel and Timothy Baldwin (2009) Recognising the Predicate-argument Structure of Tagalog, in Proceedings of North American Chapter of the Association for Computational Linguistics - Human Language Technologies 2009 (NAACL HLT 2009): Short Papers, Boulder, USA, pp. 257–260.
• Nicholson, Jeremy and Timothy Baldwin (2009) Web and Corpus Methods for Malay Count Classifier Prediction, in Proceedings of North American Chapter of the Association for Computational Linguistics - Human Language Technologies 2009 (NAACL HLT 2009): Short Papers, Boulder, USA, pp. 69–72.
• Yencken, Lars and Timothy Baldwin (2008) Measuring and predicting orthographic associations: modelling the similarity of Japanese kanji, In Proceedings of the 22nd International Conference on Computational Linguistics (COLING 2008), Manchester, UK.
• Mistica, Meladel, Timothy Baldwin, Marisa Cordella and Simon Musgrave (2008) Applying Discourse Analysis and Data Mining Methods to Spoken OSCE Assessments, In Proceedings of the 22nd International Conference on Computational Linguistics (COLING 2008), Manchester, UK.
• Yencken, Lars and Timothy Baldwin (2008) Orthographic similarity search for dictionary lookup of Japanese words, In Proceedings of the 18th European Conference on Artificial Intelligence (ECAI-08), Patras, Greece.
• Bohnert, Fabian, Ingrid Zukerman, Shlomo Berkovsky, Timothy Baldwin and Elizabeth Sonenberg (2008) Using Collaborative Models to Adaptively Predict Visitor Locations in Museums, In Proceedings of the 5th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2008), Hanover, Germany, pp. 42–51.
• Berkovsky, Shlomo, Timothy Baldwin and Ingrid Zukerman (2008) Aspect-Based Personalized Text Summarization, In Proceedings of the 5th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2008), Hanover, Germany, pp. 267–270.
• Ye, Patrick and Timothy Baldwin (2008) Towards Automatic Animated Storyboarding, In Proceedings of the 23rd Conference on Artificial Intelligence (AAAI-08), Chicago, USA, pp. 578--583.
• Agirre, Eneko, Timothy Baldwin and David Martinez (2008) Improving Parsing and PP attachment Performance with Sense Information, In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics (ACL HLT 2008), Columbus, USA, pp. 317--325.
• Baldwin, Timothy, Su Nam Kim, Francis Bond, Sanae Fujita, David Martinez and Takaaki Tanaka (2008) MRD-based Word Sense Disambiguation: Further Extending Lesk, In Proceedings of the Third International Joint Conference on Natural Language Processing (IJCNLP 2008), Hyderabad, India.
• Su Nam Kim and Timothy Baldwin (2008) Benchmarking Noun Compound Interpretation, In Proceedings of the Third International Joint Conference on Natural Language Processing (IJCNLP 2008), Hyderabad, India.
• Kim, Su Nam and Timothy Baldwin (2007) Disambiguating Noun Compounds, In Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI-07), Vancouver, Canada, pp. 901–6.
• Tanaka, Takaaki, Francis Bond, Timothy Baldwin, Sanae Fujita and Chikara Hashimoto (2007) Word Sense Disambiguation Incorporating Lexical and Structural Semantic Information, In Proceedings of the 2007 Joint Meeting of the Conference on Empirical Methods on Natural Language Processing and the Conference on Natural Language Learning (EMNLP-CoNLL 2007), Prague, Czech Republic, pp. 477–485.
• Kim, Su Nam and Timothy Baldwin (2006) Interpreting Semantic Relations in Noun Compounds via Verb Semantics, In Proceedings of COLING/ACL 2006, Sydney, Australia, pp. 491–498.
• Blunsom, Phil and Timothy Baldwin (2006) Multilingual Deep Lexical Acquisition for HPSGs via Supertagging, In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP 2006), Sydney, Australia, pp. 164–171.
• Ye, Patrick and Timothy Baldwin (2005) Semantic Role Labelling of Prepositional Phrases, In Proceedings of the Second International Joint Conference on Natural Language Processing (IJCNLP-05), Jeju, South Korea, pp. 779–91.
• Kim, Su Nam and Timothy Baldwin (2005) Automatic Interpretation of Noun Compounds using WordNet Similarity, In Proceedings of the Second International Joint Conference on Natural Language Processing (IJCNLP-05), Jeju, South Korea, pp. 945–56.
• Baldwin, Timothy and Francis Bond (2003) Learning the Countability of English Nouns from Corpus Data, In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics (ACL 2003), Sapporo, Japan, pp. 463–70.
• Baldwin, Timothy and Francis Bond (2003) A Plethora of Methods for Learning English Countability, In Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing (EMNLP 2003), Sapporo, Japan, pp. 73–80.
• Bilac, Slaven, Timothy Baldwin and Hozumi Tanaka (2002) Bringing the Dictionary to the User: the FOKS system, In Proceedings of the 19th International Conference on Computational Linguistics (COLING 2002), Taipei, Taiwan, pp. 85–91.
• Baldwin, Timothy and Aline Villavicencio (2002) Extracting the Unextractable: A Case Study on Verb-particles, In Proceedings of the Sixth Conference on Computational Natural Language Learning (CoNLL 2002), Taipei, Taiwan, pp. 98–104.
• Baldwin, Timothy (2001) Low-cost, High-performance Translation Retrieval: Dumber is Better, In Proceedings of the 39th Annual Meeting of the Association of Computational Linguistics (ACL 2001), Toulouse, France, pp. 18–25.
• Baldwin, Timothy & Hozumi Tanaka (2000) The Effects of Word Order and Segmentation on Translation Retrieval Performance, In Proceedings of the Eighteenth International Conference on Computational Linguistics (COLING 2000), Saarbrücken, Germany, pp. 35–41.
• Baldwin, Timothy & Hozumi Tanaka (2000) A Comparative Study of Unsupervised Grapheme-Phoneme Alignment Methods, Proceedings of the 22nd Annual Meeting of the Cognitive Science Society (CogSci 2000), Philadelphia, USA, pp. 587–602.

 

Other refereed papers

• Li, Xirui, Ming Li, Yunze Xiao, Ryan Wong, Dianqi Li, Timothy Baldwin and Tianyi Zhou (2026) Superminds Test: Actively Evaluating Collective Intelligence of Agent Society via Probing Agents, In Proceedings of the First Workshop on Agent Skills — Design, Evaluation, and Optimization of Procedural Knowledge for LLM Agents (Agent Skills '26), San Jose, USA.
• Nikishina, Irina, Saba Anwar, Maria Manina, Nikolay Dolgov, Daria Ignatenko, Timothy Baldwin, Artem Shelmanov and Chris Biemann (2026) Argument-Based Comparative Question Answering Evaluation Benchmark, In Proceedings of the 13th Workshop on Argument Mining and Reasoning, San Diego, USA, pp. 43—51.
• Chakradhar Thawakar, Omkar, Ashmal Vayani, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Michael Felsberg, Timothy Baldwin, Eric P. Xing and Fahad Shahbaz Khan (2025) MobiLlama: Towards Accurate & Lightweight Fully Transparent GPT, In Workshop on Sparsity in LLMs (SLLM): Deep Dive into Mixture of Experts, Quantization, Hardware, and Inference, Singapore.
• Fang, Biaoyan, Trevor Cohn, Timothy Baldwin and Lea Frermann (2023) Super-SCOTUS: A multi-sourced dataset for the Supreme Court of the US, In Proceedings of the Natural Legal Language Processing Workshop 2023, Singapore, pp. 202—214.
• Jeffries, Bryn, Timothy Baldwin and Marion Zalk (2022) Online Examinations in a Large Australian CS1 Course, In Proceedings of the Twenty-Fourth Australasian Computing Education Conference (ACE 2022), online.
• Koto, Fajri, Jey Han Lau and Timothy Baldwin (2022) Can Pretrained Language Models Generate Persuasive, Faithful, and Informative Ads Text for Product Descriptions?, In Proceedings of the Fifth Workshop on e-Commerce and NLP, pp. 234—243.
• Koto, Fajri, Timothy Baldwin and Jey Han Lau (2022) Cloze Evaluation for Deeper Understanding of Commonsense Stories in Indonesian, In Proceedings of the ACL 2022 Workshop on Commonsense Representation and Reasoning, pp. 8—16
• Otmakhova, Yulia, Thinh Hung Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor and Jey Han Lau (2022) LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation, In Proceedings of the Third Workshop on Scholarly Document Processing, Gyeongju, Republic of Korea, pp. 181—187.
• Shen, Andrew, Fajri Koto, Jey Han Lau and Timothy Baldwin (2022) Easy-First Bottom-Up Discourse Parsing via Sequence Labelling, In Proceedings of the 3rd Workshop on Computational Approaches to Discourse, Gyeongju, Republic of Korea, pp. 35—41.
• Han, Xudong, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin and Trevor Cohn (2022) Towards Fair Dataset Distillation, In Proceedings of the Third Workshop on Simple and Efficient Natural Language Processing (SustainNLP 2022), Abu Dhabi, UAE, pp. 65—72.
• Vallejo, Gisela, Timothy Baldwin and Lea Frermann (2022) Evaluating the Examiner: The Perils of Pearson Correlation for Automatic Summarisation Evaluation, In Proceedings of the 2022 Australasian Language Technology Workshop (ALTW 2022), Adelaide, Australia, pp. 130—138.
• Xing, Rui, Shraey Bhatia, Timothy Baldwin and Jey Han Lau (2022) Automatic Explanation Generation For Climate Science Claims, In Proceedings of the 2022 Australasian Language Technology Workshop (ALTW 2022), Adelaide, Australia, pp. 122—129.
• Sun, Qian, Aili Shen, Hiyori Yoshikawa, Chunpeng Ma, Daniel Beck, Tomoya Iwakura and Timothy Baldwin (2021) Evaluating Hierarchical Document Categorisation, In Proceedings of the 2021 Australasian Language Technology Workshop (ALTW 2021), virtual, pp. 179—184.
• van der Goot, Rob, Alan Ramponi, Arkaitz Zubiaga, Barbara Plank, Benjamin Muller, Iñaki San Vicente Roncal, Nikola Ljubešic, Özlem Çetinoglu, Rahmad Mahendra, Talha Çolakoglu, Timothy Baldwin, Tommaso Caselli and Wladimir Sidorenko (2021) MultiLexNorm: A shared task on multilingual lexical normalization, In Proceedings of the 7th Workshop on Noisy User-generated Text (W-NUT 2021), Online and Punta Cana, Dominican Republic.
• Wada, Takashi, Tomoharu Iwata, Yuji Matsumoto, Timothy Baldwin and Jey Han Lau (2021) Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel Corpora, In Proceedings of the EMNLP 2021 Workshop on Multilingual Representation Learning, Online and Punta Cana, Dominican Republic, pp. 16—31.
• Vihikan, Wayan Oger, Meladel Mistica, Inbar Levy, Andrew Christie and Timothy Baldwin (2021) Automatic Resolution of Domain Name Disputes, In Proceedings of the Natural Legal Language Processing Workshop 2021, online, Online and Punta Cana, Dominican Republic, pp. 228—238.
• Mistica, Meladel, Jey Han Lau, Brayden Merrifield, Kate Fazio and Timothy Baldwin (2021) Semi-automatic Triage of Requests for Free Legal Assistance, In Proceedings of the Natural Legal Language Processing Workshop 2021, online, Online and Punta Cana, Dominican Republic, pp. 217—227.
• Breen, James, Timothy Baldwin and Francis Bond (2021) Identification of Neologisms in Japanese Corpora using Synthesis, In Proceedings of the XiX EURALEX International Congress (EURALEX 2021), online.
• Hiyori Yoshikawa, Saber A. Akhondi, Camilo Thorne, Christian Druckenbrodt, Ralph Hoessel, Zenan Zhai, Jiayuan He, Timothy Baldwin and Karin Verspoor (2021) Chemical Reaction Reference Resolution in Patents, In Proceedings of the 2021 Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech 2021), pp. 10—17.
• Šuster, Simon, Karin Verspoor, Timothy Baldwin, Jey Han Lau, Antonio Jimeno-Yepes, David Martinez and Yula Otmakhova (2021) Impact of Detecting Clinical Trial Elements in Exploration of COVID-19 Literature. In Proceedings of The Fourth International Workshop on Health Natural Language Processing (HealthNLP 2021).
• Mistica, Meladel, Geordie Z. Zhang, Hui Chia, Kabir Manandhar Shrestha, Rohit Kumar Gupta, Saket Khandelwal, Jeannie Paterson, Timothy Baldwin and Daniel Beck (2020) Information Extraction from Legal Documents: A Study in the Context of Common Law Court Judgements, In Proceedings of the 2020 Australasian Language Technology Workshop (ALTW 2020), virtual, pp. 98—103.
• Kitayama, Kotaro, Shivashankar Subramanian and Timothy Baldwin (2020) Popularity Prediction of Online Petitions using a Multimodal Deep Regression Model, In Proceedings of the 2020 Australasian Language Technology Workshop (ALTW 2020), virtual, pp. 110—104.
• Yoshikawa, Hiyori, Chunpeng Ma, Aili Shen, Qian Sun, Chenbang Huang, Guillaume Pelat, Akiva Miura, Daniel Beck, Timothy Baldwin and Tomoya Iwakura (2020) UOM-FJ at the NTCIR-15 SHINRA2020-ML Task, In Proceedings of the 15th NTCIR Conference on Evaluation of Information Access Technologies, pp. 201—207, Tokyo, Japan.
• Otmakhova, Yulia, Karin Verspoor, Timothy Baldwin, Simon Suster, Jey Han Lau (2020) Improved Topic Representations of Medical Documents to Assist COVID-19 Literature Exploration, In Proceedings of the EMNLP 2020 Workshop on NLP for COVID-19, virtual.
• Wang, Yuxia, Karin Verspoor and Timothy Baldwin (2020) Learning from Unlabelled Data for Clinical Semantic Textual Similarity, In Proceedings of the 3rd Clinical Natural Language Processing Workshop, virtual.
• Wang, Yuxia, Fei Liu, Karin Verspoor and Timothy Baldwin (2020) Evaluating the Utility of Model Configurations and Data Augmentation on Clinical Semantic Textual Similarity, In Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing (BioNLP 2020), pp. 105—111.
• Hur, Brian, Timothy Baldwin, Karin Verspoor, Laura Hardefeldt and James Gilkerson (2020) Domain Adaptation and Instance Selection for Disease Syndrome Classification over Veterinary Clinical Notes, In Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing (BioNLP 2020), pp. 156—166.
• Jeffries, Bryn, Timothy Baldwin, Marion Zalk and Ben Taylor (2020) Online tutoring to support programming exercises, In Proceedings of the Twenty-Second Australasian Computing Education Conference (ACE 2020), Melbourne, Australia, pp. 56—65.
• He, Jiayuan, Dat Quoc Nguyen, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Zubair Afzal, Zenan Zhai, Biaoyan Fang, Hiyori Yoshikawa, Ameer Albahem, Lawrence Cavedon, Trevor Cohn, Timothy Baldwin, Karin Verspoor (2020) Overview of ChEMU 2020: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents, In Proceedings of CLEF 2020: 237—254.
• Yoshikawa, Hiyori, Karin Verspoor, Timothy Baldwin, Dat Quoc Nguyen, Zenan Zhai, Saber A. Akhondi, Camilo Thorne and Christian Druckenbrodt (2019) Detecting Chemical Reaction Schemes in Patents, In Proceedings of the 2019 Australasian Language Technology Workshop (ALTW 2019), Sydney, Australia, pp. 100—110.
• Koto, Fajri, Jey Han Lau and Timothy Baldwin (2019) Improved Document Modelling with a Neural Discourse Parser, In Proceedings of the 2019 Australasian Language Technology Workshop (ALTW 2019), Sydney, Australia, pp. 67—76.
• Arora, Gaurav, Afshin Rahimi and Timothy Baldwin (2019) Does an LSTM forget more than a CNN?, In Proceedings of the 2019 Australasian Language Technology Workshop (ALTW 2019), Sydney, Australia, pp. 77—86.
• Shen, Aili, Bahar Salehi, Jianzhong Qi and Timothy Baldwin (2019) Feature-guided Neural Model Training for Supervised Document Representation Learning, In Proceedings of the 2019 Australasian Language Technology Workshop (ALTW 2019), Sydney, Australia, pp. 47—51.
• Di, Qianji, Ekaterina Vylomova and Timothy Baldwin (2019) Modelling Tibetan Verbal Morphology, In Proceedings of the 2019 Australasian Language Technology Workshop (ALTW 2019), Sydney, Australia, pp. 35—40.
• Salehi, Bahar, Borhan Kazimipour and Timothy Baldwin (2019) Differences in language use: Insights from job and talent search, In Proceedings of the Twenty Fourth Australian Document Computing Symposium (ADCS 2019), Sydney, Australia, pp. 3:1—3:4.
• Anirudh Joshi, Timothy Baldwin, Richard Sinnott and Cecile Paris (2019) Reevaluating Argument Component Extraction in Low Resource Settings, In Proceedings of the Second Workshop on Deep Learning for Low-resource NLP (DeepLo 2019), Hong Kong, pp. 219—224.
• Aili Shen, Daniel Beck, Bahar Salehi, Jianzhong Qi and Timothy Baldwin (2019) Modelling Uncertainty in Collaborative Document Quality Assessment, In Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019), Hong Kong, pp. 191—201.
• Li, Haonan, Minghan Wang, Maria Vasardani, Martin Tomko and Timothy Baldwin (2019) UniMelb at SemEval-2019 Task 12: Multi-model combination for toponym resolution, In Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval 2019), Minneapolis, USA, pp. 1313—1318.
• Nandakumar, Navnita, Timothy Baldwin and Bahar Salehi (2019) How well do Embedding Models capture Non-compositionality? A View from Multiword Expressions, In Proceedings of the Third Workshop on Evaluating Vector Space Representations (RepEval 2019), Minneapolis, USA, pp. 27—34.
• Nandakumar, Navnita, Bahar Salehi and Timothy Baldwin (2018) A Comparative Study of Embedding Models in Predicting the Compositionality of Multiword Expressions, In Proceedings of the 2018 Australasian Language Technology Workshop (ALTW 2018), Dunedin, New Zealand, pp. 71—76.
• Mathur, Nitika, Timothy Baldwin and Trevor Cohn (2018) Modelling Annotators for Accurate Machine Translation Evaluation, In Proceedings of the 2018 Australasian Language Technology Workshop (ALTW 2018), Dunedin, New Zealand, pp. 77—82.
• Xu, Steven, Andrew Bennett, Doris Hoogeveen, Jey Han Lau and Timothy Baldwin (2018) Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata, In Proceedings of the 4th Workshop on Noisy User-generated Text (W-NUT 2018), Brussels, Belgium, pp. 137—147.
• Miyazaki, Taro, Afshin Rahimi, Trevor Cohn and Timothy Baldwin (2018) Twitter Geolocation using Knowledge-Based Methods, In Proceedings of the 4th Workshop on Noisy User-generated Text (W-NUT 2018), Brussels, Belgium, pp. 7—16.
• Salehi, Bahar, Damiano Spina, Alistair Moffat, Sargol Sadeghi, Falk Scholer, Timothy Baldwin, Lawrence Cavedon, Mark Sanderson, Wilson Wong and Justin Zobel (2018) A Living Lab Study of Query Amendment in Job Search, In Proceedings of 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), Ann Arbor, USA, pp. 905—908.
• Joshi, Anirudh, Timothy Baldwin, Richard O. Sinnott and Cecile Paris (2018) UniMelb at SemEval-2018 Task 12: Generative Implication using LSTMs, Siamese Networks and Semantic Representations with Synonym Fuzzing, In Proceedings of The 12th International Workshop on Semantic Evaluation, New Orleans, USA, pp. 1124—1128.
• Breen, James, Timothy Baldwin and Francis Bond (2018) The Company They Keep: Extracting Japanese Neologisms Using Language Patterns, In Proceedings of the 6th International Global Wordnet Conference (GWC 2018), Singapore.
• Liu, Fei, Trevor Cohn and Timothy Baldwin (2017) Improving End-to-End Memory Networks with Unified Weight Tying, In Proceedings of the 2017 Australasian Language Technology Workshop (ALTW 2017), Brisbane, Australia.
• Shen, Aili, Jianzhong Qi and Timothy Baldwin (2017) A Hybrid Model for Quality Assessment of Wikipedia Articles, In Proceedings of the 2017 Australasian Language Technology Workshop (ALTW 2017), Brisbane, Australia.
• Subramanian, Shivashankar, Trevor Cohn, Timothy Baldwin and Julian Brooke (2017) Joint Sentence-Document Model for Manifesto Text Analysis, In Proceedings of the 2017 Australasian Language Technology Workshop (ALTW 2017), Brisbane, Australia.
• Cheng, Katharine, Timothy Baldwin and Karin Verspoor (2017) Automatic Negation and Speculation Detection in Veterinary Clinical Text, In Proceedings of the 2017 Australasian Language Technology Workshop (ALTW 2017), Brisbane, Australia.
• Li, Yitong, Trevor Cohn and Timothy Baldwin (2017) BIBI System Description: Building with CNNs and Breaking with Deep Reinforcement Learning, In Proceedings of the EMNLP 2017 Workshop on Building Linguistically Generalizable NLP Systems, Copenhagen, Denmark, pp. 27—32.
• Nguyen, Viet, Julian Brooke and Timothy Baldwin (2017) Sub-character Neural Language Modelling in Japanese, In Proceedings of the First Workshop on Subword and Character Level Models in NLP, Copenhagen, Denmark, pp. 148—153.
• Spina, Damiano, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer and Justin Zobel (2017) Understanding User Behavior in Job and Talent Search: An Initial Investigation, In Proceedings of the SIGIR 2017 workshop on eCommerce, Tokyo, Japan.
• Nakov, Preslav, Doris Hoogeveen, Lluı́s Màrquez, Alessandro Moschitti, Hamdy Mubarak, Timothy Baldwin and Karin Verspoor (2017) SemEval-2017 Task 3: Community Question Answering, In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval 2017), Vancouver, Canada, pp. 27—48.
• Xu, Ying, Jey Han Lau, Timothy Baldwin and Trevor Cohn (2017) Decoupling Encoder and Decoder Networks for Abstractive Document Summarization, In Proceedings of MultiLing 2017: Summarization and Summary Evaluation across Source Types and Genre, Valencia, Spain, pp. 7—11.
• Chan, King, Julian Brooke and Timothy Baldwin (2017) Semi-Automated Resolution of Inconsistency for a Harmonized Multiword Expression and Dependency Parse Annotation, In Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017), Valencia, Spain, pp. 187—193.
• Han, Bo, Afshin Rahimi, Leon Derczynski and Timothy Baldwin (2016) Twitter Geolocation Prediction Shared Task of the 2016 Workshop on Noisy User-generated Text, In Proceedings of the 2nd Workshop on Noisy User-generated Text (W-NUT 2016), Osaka, Japan, pp. 213–217.
• Lau, Jey Han and Timothy Baldwin (2016) An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation. In Proceedings of the 1st Workshop on Representation Learning for NLP, Berlin, Germany, pp. 78–86.
• Doris Hoogeveen, Karin Verspoor and Timothy Baldwin (2016) CQADupStack: Gold or Silver? In Proceedings of the SIGIR 2016 Workshop on Web Question Answering Beyond Factoids (WebQA 2016), Pisa, Italy.
• Shcherbakov, Andrei, Ekaterina Vylomova, Fei Liu and Timothy Baldwin (2016) VectorWeavers at SemEval-2016 Task 10: From Incremental Meaning to Semantic Unit (phrase by phrase). In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016), San Diego, USA, pp. 871–877.
• Xu, XingYi, HuiZhi Liang and Timothy Baldwin (2016) UNIMELB at SemEval-2016 Tasks 4A and 4B: An Ensemble of Neural Networks and a Word2Vec Based Model for Sentiment Classification. In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016), San Diego, USA, pp. 188–194.
• Hoogeveen, Doris, Huizhi Liang, Long Duong, Yitong Li, Bahar Salehi and Timothy Baldwin (2016) UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by Combining a CNN with String Similarity Measures. In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016), San Diego, USA, pp. 776–781.
• Brooke, Julian, Timothy Baldwin and Alexandra L. Uitdenbogerd (2016) Melbourne at SemEval 2016 Task 11: Classifying Type-level Word Complexity using Random Forests with Corpus and Word List Features. In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016), San Diego, USA, pp. 900–906.
• Fothergill, Richard, Paul Cook and Timothy Baldwin (2016) Evaluating a Topic Modelling Approach to Measuring Corpus Similarity, in Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016), Portorož, Slovenia, pp. 271–279.
• Salinas Alvarado, Julio Cesar, Karin Verspoor and Timothy Baldwin (2015) Domain Adaption of Named Entity Recognition to Support Credit Risk Assessment, In Proceedings of the 2015 Australasian Language Technology Workshop (ALTW 2015), Sydney, Australia, pp. 84–90.
• Nothman, Joel, Atif Ahmad, Christoph Breidbach, David Malet and Timothy Baldwin (2015) Understanding engagement with insurgents through retweet rhetoric, In Proceedings of the 2015 Australasian Language Technology Workshop (ALTW 2015), Sydney, Australia, 122–127.
• Hoogeveen, Doris, Karin Verspoor and Timothy Baldwin (2015) CQADupStack: A Benchmark Data Set for Community Question-Answering Research, In Proceedings of the Twentieth Australian Document Computing Symposium (ADCS 2015), Sydney, Australia, pp. 3:1–3:8.
• Dittrich, André, Maria Vasardani, Stephan Winter, Timothy Baldwin and Fei Liu (2015) A Classification Schema for Fast Disambiguation of Spatial Prepositions, in Proceedings of the 6th ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS), Seattle, USA.
• Baldwin, Timothy, Marie-Catherine de Marneffe, Bo Han, Young-Bum Kim, Alan Ritter and Wei Xu (2015) Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition, in Proceedings of the ACL 2015 Workshop on Noisy User-generated Text (W-NUT), Beijing, China, pp. 126–135.
• Salehi, Bahar, Nitika Mathur, Paul Cook and Timothy Baldwin (2015) The Impact of Multiword Expression Compositionality on Machine Translation Evaluation, In Proceedings of the NAACL HLT 2015 Workshop on Multiword Expressions, Denver, USA, pp. 54–59.
• Liang, Huizhi, Richard Fothergill and Timothy Baldwin (2015) RoseMerry: A Baseline Message-level Sentiment Classification System, In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), Denver, USA, pp. 551–555.
• Wallgrün, Jan Oliver, Alexander Klippel and Tim Baldwin (2014) Building a Corpus of Spatial Relational Expressions Extracted from Web Documents, In Proceedings of the 8th ACM SIGSPATIAL Workshop on Geographic Information Retrieval, Dallas, USA.
• Tytyk, Igor and Timothy Baldwin (2014) Automatic Zoom Level Prediction for Informal Location Descriptions, In Proceedings of The 4th International Workshop on Location and the Web (LocWeb 2014), Shanghai, China, pp. 37–40.
• Liu, Fei, Maria Vasardani and Timothy Baldwin (2014) Automatic Identification of Locative Expressions from Social Media Text: A Comparative Analysis, In Proceedings of The 4th International Workshop on Location and the Web (LocWeb 2014), Shanghai, China, pp. 9–16.
• Lui, Marco, Ned Letcher, Oliver Adams, Long Duong, Paul Cook, and Timothy Baldwin (2014) Exploring methods and resources for discriminating similar languages, In Proceedings of the 1st Workshop on Applying NLP Tools to Similar Languages, Varieties and Dialects (VarDial), Dublin, Ireland.
• Cook, Paul, Michael Rundell, Jey Han Lau and Timothy Baldwin (2014) Applying a Word-sense Induction System to the Automatic Extraction of Diverse Dictionary Examples, In Proceedings of the XVI EURALEX International Congress (EURALEX 2014), Bolzano, Italy, pp. 15–19.
• Graham, Yvette, Nitika Mathur and Timothy Baldwin (2014) Randomized Significance Tests in Machine Translation, In Proceedings of the ACL 2014 Ninth Workshop on Statistical Machine Translation, Baltimore, USA, pp. 266–274.
• Lui, Marco and Timothy Baldwin (2014) Accurate Language Identification of Twitter Messages, In Proceedings of the EACL 2014 Workshop on Language Analysis in Social Media (LASM 2014), Gothenburg, Sweden, pp. 17–25.
• Wang, Li, Su Nam Kim and Timothy Baldwin (2013) The Utility of Discourse Structure in Forum Thread Retrieval, In Proceedings of the Ninth Asian Information Retrieval Societies Conference (AIRS 2013), Singapore, pp. 284–295.
• Willett, Jared, David Martinez, J. Angus Webb and Timothy Baldwin (2013), Automatic Climate Classification of Environmental Science Literature, In Proceedings of the 2013 Australasian Language Technology Workshop (ALTW 2013), Brisbane, Australia, pp. 123–130.
• Graham, Yvette, Timothy Baldwin, Alistair Moffat and Justin Zobel (2013) Crowd-Sourcing of Human Judgments of Machine Translation Fluency, In Proceedings of the 2013 Australasian Language Technology Workshop (ALTW 2013), Brisbane, Australia, pp. 16–24.
• Cook, Paul, Jey Han Lau, Michael Rundell, Diana McCarthy and Timothy Baldwin (2013) A Lexicographic Appraisal of an Automatic Approach for Detecting New Word Senses, In Proceedings of eLex 2013, Tallinn, Estonia.
• Han, Bo, Paul Cook and Timothy Baldwin (2013) unimelb: Spanish Text Normalisation, In Proceedings of the Tweet Normalization Workshop at SEPLN 2013 (Tweet-norm), Madrid, Spain, pp. 67–71.
• Letcher, Ned and Tim Baldwin (2013) Constructing a Phenomenal Corpus: Towards Detecting Linguistic Phenomena in Precision Grammars, In Proceedings of the ESSLLI 2013 Workshop on High-level Methodologies for Grammar Engineering (HMGE 2013), Düsseldorf, Germany, pp. 25–36.
• Graham, Yvette, Timothy Baldwin, Alistair Moffat and Justin Zobel (2013) Continuous Measurement Scales in Human Evaluation of Machine Translation, In Proceedings of the 7th Linguistic Annotation Workshop & Interoperability with Discourse (LAW VII and ID), Sofia, Bulgaria, pp. 33–41.
• Gella, Spandana, Bahar Salehi, Marco Lui, Karl Grieser, Paul Cook and Timothy Baldwin (2013) Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity, In Proceedings of *SEM 2013 Shared Task STS, Atlanta, USA, pp. 207–215.
• Lau, Jey Han, Paul Cook and Timothy Baldwin (2013) unimelb: Topic Modelling-based Word Sense Induction, In Proceedings of the 7th International Workshop on Semantic Evaluation (SemEval 2013), Atlanta, USA, pp. 307–311.
• Lau, Jey Han, Paul Cook and Timothy Baldwin (2013) unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering, In Proceedings of the 7th International Workshop on Semantic Evaluation (SemEval 2013), Atlanta, USA, pp. 217–221.
• Graham, Yvette, Bahar Salehi and Timothy Baldwin (2013) Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features, In Proceedings of the 7th International Workshop on Semantic Evaluation (SemEval 2013), Atlanta, USA, pp. 133–137.
• Graham, Yvette, Timothy Baldwin, Aaron Harwood, Alistair Moffat and Justin Zobel (2012) Measurement of Progress in Machine Translation, In Proceedings of the 2012 Australasian Language Technology Workshop (ALTW 2012), Dunedin, New Zealand, pp. 70–78.
• Breen, James, Francis Bond and Timothy Baldwin (2012) Extraction and Translation of Japanese Multi-word Loanwords, In Proceedings of the 2012 Australasian Language Technology Workshop (ALTW 2012), Dunedin, New Zealand, pp. 61–69.
• Lui, Marco, Timothy Baldwin and Diana McCarthy (2012) Unsupervised Estimation of Word Usage Similarity, In Proceedings of the 2012 Australasian Language Technology Workshop (ALTW 2012), Dunedin, New Zealand, pp. 33–41.
• Willett, Jared, David Martinez, Angus Webb and Timothy Baldwin (2012) Classification of Study Region in Environmental Science Abstracts, In Proceedings of the 2012 Australasian Language Technology Workshop (ALTW 2012), Dunedin, New Zealand, pp. 118–122.
• Kim, Su Nam, Lawrence Cavedon and Timothy Baldwin (2012) Classifying Dialogue Acts in Multi-party Live Chats, In Proceedings of the 26th Pacific Asia Conference on Language, Information and Computation (PACLIC 26), Bali, Indonesia, pp. 463–472.
• Kim, Su Nam and Timothy Baldwin (2012) Extracting Keywords from Multi-party Live Chats, In Proceedings of the 26th Pacific Asia Conference on Language, Information and Computation (PACLIC 26), Bali, Indonesia, pp. 199–208.
• Nicholson, Jeremy and Timothy Baldwin (2012) Learning Grammatical Gender in Wambaya, In Proceedings of the 26th Pacific Asia Conference on Language, Information and Computation (PACLIC 26), Bali, Indonesia, pp. 481–490.
• Tytyk, Igor and Timothy Baldwin (2012) Component-wise Annotation and Analysis of Informal Placename Descriptions, In Proceedings of the International Workshop on Place-Related Knowledge Acquisition Research (P-KAR 2012), Kloster Seeon, Germany.
• Bond, Francis, Timothy Baldwin, Richard Fothergill and Kiyotaka Uchimoto (2012) Japanese SemCor: A Sense-tagged Corpus of Japanese, In Proceedings of the 6th International Global Wordnet Conference (GWC 2012), Matsue, Japan.
• Baldwin, Timothy, Patrick Ye, Fabian Bohnert and Ingrid Zukerman (2011) In Situ Text Summarisation for Museum Visitors, In Proceedings of the 25th Pacific Asia Conference on Language, Information and Computation (PACLIC 25), Singapore, pp. 372–381.
• Mistica, Meladel, Timothy Baldwin and I Wayan Arka (2011) Word Classes in Indonesian: A Linguistic Reality or a Convenient Fallacy in Natural Language Processing?, In Proceedings of the 25th Pacific Asia Conference on Language, Information and Computation (PACLIC 25), Singapore, pp. 293–302.
• Kim, Su Nam, Timothy Baldwin and Lawrence Cavedon (2011) Harvesting Domain-Specific Terms using Wikipedia, In Proceedings of the Sixteenth Australian Document Computing Symposium (ADCS 2011), Canberra, Australia.
• Wang, Li, Diana McCarthy and Timothy Baldwin (2011) Predicting Thread Linking Structure by Lexical Chaining, In Proceedings of the 2011 Australasian Language Technology Workshop (ALTW 2011), Canberra, Australia, pp. 76–85.
• Winter, Stephan, Timothy Baldwin, Lawrence Cavedon, Lesley Stirling, Allison Kealy, Matt Duckham, Abbas Rajabifard and Kai-Florian Richter (2011) Starting to Talk about Place, In Proceedings of the Surveying and Spatial Sciences Biennial Conference 2011, Wellington, NZ, pp. 63–73.
• MacKinlay, Andrew, David Martinez and Timothy Baldwin (2011) A Parser-based Approach to Detecting Modification of Biomedical Events, In Proceedings of the ACM Fifth International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO 2011), Glasgow, UK.
• Winter, Stephan, Kai-Florian Richter, Timothy Baldwin, Lawrence Cavedon, Lesley Stirling, Matt Duckham, Allison Kealy and Abbas Rajabifard (2011) Mobile Games for Spatial Knowledge Acquisition, In Proceedings of CeMob 2011: Workshop on Cognitive Engineering for Mobile GIS 2011, Belfast, USA, pp. 1–8.
• Bohnert, Fabian, Ingrid Zukerman, David W. Albrecht and Timothy Baldwin (2011) Modelling and Predicting Movements of Museum Visitors: A Simulation Framework for Assessing the Impact of Sensor Noise on Model Performance, In Proceedings of the 9th Workshop on Intelligent Techniques for Web Personalization, Barcelona, Spain, pp. 49–56.
• Wang, Li, Su Nam Kim and Timothy Baldwin (2010) Thread-level Analysis over Technical User Forum Data, In Proceedings of the 2010 Australasian Language Technology Workshop (ALTW 2010), Melbourne, Australia, pp. 27–31.
• Lui, Marco and Timothy Baldwin (2010) Classifying User Forum Participants: Separating the Gurus from the Hacks, and Other Tales of the Internet, In Proceedings of the 2010 Australasian Language Technology Workshop (ALTW 2010), Melbourne, Australia, pp. 49–57.
• Martinez, David and Timothy Baldwin (2010) Word Sense Disambiguation for Event Trigger Word Detection, In Proceedings of the ACM Fourth International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO), Toronto, Canada.
• Kim, Su Nam, Olena Medelyan, Min-Yen Kan and Timothy Baldwin (2010) SemEval-2010 Task 5: Automatic Keyphrase Extraction from Scientific Articles, In Proceedings of SemEval-2: Evaluation Exercises on Semantic Evaluation, Uppsala, Sweden, pp. 21–26.
• Baldwin, Timothy, David Martinez, Richard Penman, Su Nam Kim, Marco Lui, Li Wang and Andrew MacKinlay (2010) Intelligent Linux Information Access by Data Mining: the ILIAD Project, In Proceedings of the NAACL 2010 Workshop on Computational Linguistics in a World of Social Media: #SocialMedia, Los Angeles, USA, pp. 15–16.
• Breen, James and Timothy Baldwin (2009) Corpus-based Extraction of Japanese Compound Verbs, In Proceedings of the 2009 Australasian Language Technology Workshop (ALTW 2009), Sydney, Australia, pp. 35–43.
• Kim, Su Nam, Timothy Baldwin and Min-Yen Kan (2009) An Unsupervised Approach to Extracting Domain-Specific Words, In Proceedings of the 2009 Australasian Language Technology Workshop (ALTW 2009), Sydney, Australia, pp. 94–98.
• Mistica, Meladel, Wayan Arka, Timothy Baldwin and Avery Andrews (2009) Double Double, Morphology and Trouble: Looking into Reduplication in Indonesian, In Proceedings of the 2009 Australasian Language Technology Workshop (ALTW 2009), Sydney, Australia, pp. 44–52.
• Lui, Marco and Timothy Baldwin (2009) You Are What You Post: User-level Features in Threaded Discourse, In Proceedings of the Fourteenth Australian Document Computing Symposium (ADCS 2009), Sydney, Australia, pp. 98–105..
• Kim, Su Nam, Timothy Baldwin and Min-Yen Kan (2009) The Use of Topic Representative Words in Text Categorization, In Proceedings of the Fourteenth Australian Document Computing Symposium (ADCS 2009), Sydney, Australia, pp. 75–81.
• Timothy Baldwin and Manuel Paul Anil Kumar Joseph (2009) Restoring Punctuation and Casing in English Text, In Proceedings of the 22nd Australian Joint Conference on Artificial Intelligence (AI09), Melbourne, Australia.
• MacKinlay, Andrew, David Martinez and Timothy Baldwin (2009) Biomedical Event Annotation with CRFs and Precision Grammars, in Proceedings of BioNLP 2009: Shared Task, Boulder, USA, pp. 77–85.
• Baldwin, Timothy and Lejoe Kuriakose (2009) Cheap, Accurate RFID Tracking of Museum Visitors for Personalized Content Delivery, In Museums and the Web 2009: Proceedings.
• Nicholson, Jeremy and Timothy Baldwin (2008) Learning Count Classifier Preferences of Malay Nouns, In Proceedings of the 2008 Australasian Language Technology Workshop (ALTW 2008), Hobart, Australia, pp. 115–123.
• March, Olivia and Timothy Baldwin (2008) Automatic Event Reference Identification for Text Summarisation, In Proceedings of the 2008 Australasian Language Technology Workshop (ALTW 2008), Hobart, Australia, pp. 79–87.
• Grieser, Karl, Timothy Baldwin, Fabian Bohnert and Liz Sonenberg (2008) Using Collaboratively Constructed Document Collections to Simulate Real World Object Comparisons, In Proceedings of the Thirteenth Australian Document Computing Symposium (ADCS 2008), Hobart, Australia, pp. 73–76.
• Martinez, David, Sarvnaz Karimi, Lawrence Cavedon and Timothy Baldwin (2008) Facilitating Biomedical Systematic Reviews Using Ranked Text Retrieval and Classification, In Proceedings of the Thirteenth Australian Document Computing Symposium (ADCS 2008), Hobart, Australia, pp. 53–60.
• Kim, Su Nam and Timothy Baldwin (2008) An Unsupervised Approach to Interpreting Noun Compounds, In Proceedings of 2008 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'08), Beijing, China.
• Baldwin, Timothy (2008) A Resource for Evaluating the Deep Lexical Acquisition of English Verb-Particle Constructions, In Proceedings of LREC 2008 Workshop: Towards a Shared Task for Multiword Expressions (MWE 2008), Marrakech, Morocco, pp. 1–2.
• Nicholson, Jeremy and Timothy Baldwin (2008) Interpreting Compound Nominalisations, In Proceedings of LREC 2008 Workshop: Towards a Shared Task for Multiword Expressions (MWE 2008), Marrakech, Morocco, pp. 43–45.
• Nicholson, Jeremy, Valia Kordoni, Yi Zhang, Timothy Baldwin and Rebecca Dridan (2008) Evaluating and Extending the Coverage of HPSG Grammars, In Proceedings of the 6th International Conference on Language Resources and Evaluation (LREC2008), Marrakech, Morocco.
• Kim, Su Nam and Timothy Baldwin (2008) Standardised Evaluation of English Noun Compound Interpretation, In Proceedings of LREC 2008 Workshop: Towards a Shared Task for Multiword Expressions (MWE 2008), Marrakech, Morocco, pp. 39–42.
• Ghodke, Sumukh and Timothy Baldwin (2007) An Investigation into the Interaction between Feature Selection and Discretization: Learning How and When to Read Numbers, In Proceedings of the 20th Australian Joint Conference on Artificial Intelligence (AI07), Gold Coast, Australia, pp. 48–57.
• Timothy Baldwin (2007) Scalable Deep Linguistic Processing: Mind the Lexical Gap, In Proceedings of the 21st Pacific Asia Conference on Language, Information and Computation (PACLIC21), Seoul, Korea, pp. 3–12.
• Rebecca Dridan and Timothy Baldwin (2007) What to Classify and How: Experiments in Question Classification for Japanese, In Proceedings of PACLING 2007, Melbourne, Australia, pp. 333–41.
• Su Nam Kim and Timothy Baldwin (2007) Detecting Compositionality of English Verb-Particle Constructions using Semantic Similarity, In Proceedings of PACLING 2007, Melbourne, Australia, pp. 40–8.
• Su Nam Kim and Timothy Baldwin (2007) Interpreting Noun Compounds using Bootstrapping and Sense Collocation, In Proceedings of PACLING 2007, Melbourne, Australia, pp. 129–36.
• Baldwin, Timothy, Mark Dras, Julia Hockenmaier, Tracy Holloway King and Gertjan van Noord (2007) The Impact of Deep Linguistic Processing on Parsing Technology, In Proceedings of the 10th International Conference on Parsing Technology (IWPT 2007), Prague, Czech Republic, pp. 36–38.
• Baldwin, Timothy, David Martinez, Richard B. Penman (2007) Automatic Thread Classification for Linux User Forum Information Access, In Proceedings of the Twelfth Australasian Document Computing Symposium (ADCS 2007), Melbourne, Australia, pp. 72–9.
• Kim, Su Nam, Meladel Mistica and Timothy Baldwin (2007) Extending Sense Collocations in Interpreting Noun Compounds, In Proceedings of the 2007 Australasian Language Technology Workshop (ALTW 2007), Melbourne, Australia, pp. 49–56.
• Willy Yap and Timothy Baldwin (2007) Dictionary Alignment for Context-sensitive Word Glossing, In Proceedings of the 2007 Australasian Language Technology Workshop (ALTW 2007), Melbourne, Australia, pp. 125–33.
• Baldwin, Timothy, David Martinez, Richard B. Penman (2007) Automatic Thread Classification for Linux User Forum Information Access, In Proceedings of the Twelfth Australasian Document Computing Symposium (ADCS 2007), Melbourne, Australia, pp. 72–9.
• Furlan, Aidan, Timothy Baldwin and Alex Klippel (2007) Landmark Classification for Route Directions, In Proceedings of the Fourth ACL-SIGSEM Workshop on Prepositions, Prague, Czech Republic, pp. 9–16.
• Grieser, Karl, Timothy Baldwin and Steven Bird (2007) Dynamic Path Prediction and Recommendation in a Museum Environment, In Proceedings of the ACL 2007 Workshop on Language Technology for Cultural Heritage Data (LaTeCH 2007), Prague, Czech Republic, pp. 49–56.
• Zhang, Yi, Timothy Baldwin and Valia Kordoni (2007) The Corpus and the Lexicon: Standardising Deep Lexical Acquisition Evaluation, In Proceedings of the ACL 2007 Workshop on Deep Linguistic Processing, Prague, Czech Republic, pp. 152–159.
• Kim, Su Nam and Timothy Baldwin (2007) MELB-KB: Nominal Classification as Noun Compound Interpretation, In Proceedings of the 4th International Workshop on Semantic Evaluations, Prague, Czech Republic, pp. 231–236.
• Martinez, David, Timothy Baldwin, Eneko Agirre and Oier Lopez de Lacalle (2007) UBC-UMB: Combining unsupervised and supervised systems for all-words WSD, In Proceedings of the 4th International Workshop on Semantic Evaluations, Prague, Czech Republic, pp. 350–353.
• Martinez, David, Su Nam Kim and Timothy Baldwin (2007) MELB-MKB: Lexical Substitution system based on Relatives in Context, In Proceedings of the 4th International Workshop on Semantic Evaluations, Prague, Czech Republic, pp. 237–240.
• Ye, Patrick and Timothy Baldwin (2007) MELB-YB: Preposition Sense Disambiguation Using Rich Semantic Features, In Proceedings of the 4th International Workshop on Semantic Evaluations, Prague, Czech Republic, pp. 241–244.
• Yencken, Lars and Timothy Baldwin (2006) Modelling the Orthographic Neighbourhood for Japanese Kanji, In Proceedings of the 21st International Conference on the Computer Processing of Oriental Languages, Singapore.
• Hughes, Baden, Timothy Baldwin, Steven Bird, Jeremy Nicholson and Andrew MacKinlay (2006) Reconsidering Language Identification for Written Language Resources, In Proceedings of the 5th International Conference on Language Resources and Evaluation (LREC2006), Genoa, Italy, pp. 485–8.
• Baldwin, Timothy and Su'ad Awab (2006) Open Source Corpus Analysis Tools for Malay, In Proceedings of the 5th International Conference on Language Resources and Evaluation (LREC2006), Genoa, Italy, pp. 2212–5.
• Nicholson, Jeremy, Nicola Stokes and Timothy Baldwin (2006) Detecting Entailment Using an Extended Implementation of the Basic Elements Overlap Metric, In Proceedings of the 2nd PASCAL Recognizing Textual Entailment Challenge, Venice, Italy.
• Baldwin, Timothy, Steven Bird and Baden Hughes (2006) Collecting Low-Density Language Materials on the Web, In Proceedings of the 12th Australasian World Wide Web Conference (AusWeb06), Noosa Lakes, Australia.  [Best Poster Award]
• Nicholson, Jeremy and Timothy Baldwin (2006) Interpretation of Compound Nominalisations using Corpus and Web Statistics, In Proceedings of COLING/ACL 2006 Workshop on Multiword Expressions, Sydney, Australia, pp. 54–61.
• Kim, Su Nam and Timothy Baldwin (2006) Automatic Identification of English Verb Particle Constructions using Linguistic Features, In Proceedings of the Third ACL-SIGSEM Workshop on Prepositions, Trento, Italy, pp. 65–72.
• MacKinlay, Andrew and Timothy Baldwin (2005) POS Tagging with a More Informative Tagset, In Proceedings of the Australasian Language Technology Workshop 2005 (ALTW 2005), Sydney, Australia.
• Nicholson, Jeremy and Timothy Baldwin (2005) Statistical Interpretation of Compound Nominalisations, In Proceedings of the Australasian Language Technology Workshop 2005 (ALTW 2005), Sydney, Australia.
• Yencken, Lars and Timothy Baldwin (2005) Efficient Grapheme-phoneme Alignment for Japanese, In Proceedings of the Australasian Language Technology Workshop 2005 (ALTW 2005), Sydney, Australia.
• Baldwin, Timothy (2005) Bootstrapping Deep Lexical Resources: Resources for Courses, In Proceedings of the ACL-SIGLEX 2005 Workshop on Deep Lexical Acquisition, Ann Arbor, USA, pp. 67–76.
• Baldwin, Timothy (2005) Looking for Prepositional Verbs in Corpus Data, In Proceedings of the 2nd ACL-SIGSEM Workshop on the Linguistic Dimensions of Prepositions and their Use in Computational Linguistics Formalisms and Applications, Colchester, UK.
• Baldwin, Timothy (2005) General-Purpose Lexical Acquisition: Procedures, Questions and Results, In Proceedings of the Pacific Association for Computational Linguistics 2005, Tokyo, Japan, pp. 23–32.
• Yamada, Ichiro and Timothy Baldwin (2004) Automatic Discovery of Telic and Agentive Roles from Corpus Data, In Proceedings of the The 18th Pacific Asia Conference on Language, Information and Computation (PACLIC 18), Tokyo, Japan.
• van der Beek, Leonoor and Timothy Baldwin (2004) Crosslingual Countability Classification with EuroWordNet, In Proceedings of the 14th Meeting of Computational Linguistics in the Netherlands (CLIN 2003), Antwerp, Belgium.
• Baldwin, Timothy (2004) Making Sense of Japanese Relative Clause Constructions, In Proceedings of the 2nd Workshop on Text Meaning and Interpretation, Barcelona, Spain, pp. 49–56.
• Baldwin, Timothy and Takaaki Tanaka (2004) Translation by Machine of Compound Nominals: Getting it Right, In Proceedings of the ACL 2004 Workshop on Multiword Expressions: Integrating Processing, Barcelona, Spain, pp. 24–31.
• Bender, Emily M., Dan Flickinger, Stephan Oepen, Annemarie Walsh and Tim Baldwin (2004) Arboretum: Using a precision grammar for grammar checking CALL, In Proceedings of the InSTIL/ICAL Symposium: NLP and Speech Technologies in Advance Language Learning Systems, Venice, Italy.
• Villavicencio, Aline, Timothy Baldwin and Benjamin Waldron (2004) A Multilingual Database of Idioms, In Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC 2004), Lisbon, Portugal, pp. 1127–30.
• Baldwin, Timothy, Emily M. Bender, Dan Flickinger, Ara Kim and Stephan Oepen (2004) Road-testing the English Resource Grammar over the British National Corpus, In Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC 2004), Lisbon, Portugal, pp. 2047–50.
• Bilac, Slaven, Timothy Baldwin and Hozumi Tanaka (2004) Evaluating the FOKS Error Model, In Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC 2004), Lisbon, Portugal, pp. 2119–2122.
• Baldwin, Timothy, John Beavers, Emily M. Bender, Dan Flickinger, Ara Kim and Stephan Oepen (2004) Beauty and the Beast: What running a broad-coverage precision grammar over the BNC taught us about the grammar – and the corpus, In Proceedings of the International Conference on Linguistic Evidence: Empirical, Theoretical, and Computational Perspectives, Tübingen, Germany.
• Tanaka, Takaaki and Timothy Baldwin (2003) Translation Selection for Japanese-English Noun-Noun Compounds, In Proceedings of Machine Translation Summit IX, New Orleans, USA, pp. 378–85.
• Bilac, Slaven, Timothy Baldwin and Hozumi Tanaka (2003) Increasing the error coverage of the FOKS Japanese dictionary interface, In Proceedings of the 3rd Conference of the Asian Association for Lexicography (ASIALEX 2003), Tokyo, Japan.
• Baldwin, Timothy and Leonoor van der Beek (2003) The Ins and Outs of Dutch Noun Countability Classification, In Proceedings of the 2003 Australasian Language Technology Workshop (ALTW2003), Melbourne, Australia, pp. 30–40.
• Baldwin, Timothy, John Beavers, Leonoor van der Beek, Francis Bond, Dan Flickinger and Ivan A. Sag (2003) In Search of a Systematic Treatment of Determinerless PPs, In Proceedings of the ACL-SIGSEM Workshop on the Linguistic Dimensions of Prepositions and their Use in Computational Linguistics Formalisms and Applications, Toulouse, France, pp. 145–56.
• Bannard, Colin and Timothy Baldwin (2003) Distributional Models of Preposition Semantics, In Proceedings of the ACL-SIGSEM Workshop on the Linguistic Dimensions of Prepositions and their Use in Computational Linguistics Formalisms and Applications, Toulouse, France, pp. 169–80.
• Baldwin, Timothy, Colin Bannard, Takaaki Tanaka and Dominic Widdows (2003) An Empirical Model of Multiword Expression Decomposability, In Proceedings of the ACL-2003 Workshop on Multiword Expressions: Analysis, Acquisition and Treatment, Sapporo, Japan, pp. 89–96.
• Bannard, Colin, Timothy Baldwin and Alex Lascarides (2003) A Statistical Approach to the Semantics of Verb-Particles, In Proceedings of the ACL-2003 Workshop on Multiword Expressions: Analysis, Acquisition and Treatment, Sapporo, Japan, pp. 65–72.
• Tanaka, Takaaki and Timothy Baldwin (2003) Noun-Noun Compound Machine Translation: A Feasibility Study on Shallow Processing, In Proceedings of the ACL-2003 Workshop on Multiword Expressions: Analysis, Acquisition and Treatment, Sapporo, Japan, pp. 17–24.
• Baldwin, Timothy and Francis Bond (2002) Alternation-based Lexicon Reconstruction, In Proceedings of the 9th International Conference on Theoretical and Methodological Issues in Machine Translation (TMI 2002), Keihanna, Japan, pp. 1–11.
• Baldwin, Timothy, Slaven Bilac, Ryo Okumura, Takenobu Tokunaga and Hozumi Tanaka (2002) Enhanced Japanese Electronic Dictionary Look-up, In Proceedings of the Third International Conference on Language Resources and Evaluation (LREC 2002), Las Palmas, Canary Islands, pp. 979–85.
• Copestake, Ann, Fabre Lambeau, Aline Villavicencio, Francis Bond, Timothy Baldwin, Ivan Sag, Dan Flickinger (2002) Multiword Expressions: Linguistic Precision and Reusability, In Proceedings of the Third International Conference on Language Resources and Evaluation (LREC 2002), Las Palmas, Canary Islands, pp. 1941–7.
• Sag, Ivan, Timothy Baldwin, Francis Bond, Ann Copestake and Dan Flickinger (2002) Multiword Expressions: A Pain in the Neck for NLP, In Proceedings of the Third International Conference on Intelligent Text Processing and Computational Linguistics (CICLING 2002), Mexico City, Mexico, pp. 1–15.
• Baldwin, Timothy, Atsushi Okazaki, Takenobu Tokunaga and Hozumi Tanaka (2001) The Japanese Translation Task: Lexical and Structural Perspectives, In Proceedings of the ACL/EACL 2001 Senseval2 Workshop, Toulouse, France.
• Baldwin, Timothy & Hozumi Tanaka (2000) Verb Alternations and Japanese – How, What and Where?, In Proceedings of the 14th Pacific Asia Conference on Language, Information and Computation (PACLIC 14), Tokyo, Japan, pp. 3–14.
• Baldwin, Timothy & Hozumi Tanaka (1999) Argument Status in Japanese Verb Sense Disambiguation, In Proceedings of the 8th International Conference on Theoretical and Methodological Issues in Machine Translation (TMI-99), Chester, UK, pp. 196–206.
• Baldwin, Timothy, Ben Hutchinson & Francis Bond (1999) A Valency Dictionary Architecture for Machine Translation, In Proceedings of the 8th International Conference on Theoretical and Methodological Issues in Machine Translation (TMI-99), Chester, UK, pp. 207–217.
• Baldwin, Timothy & Hozumi Tanaka (1999) The Applications of Unsupervised Learning to Japanese Grapheme-Phoneme Alignment, In Proceedings of ACL Workshop on Unsupervised Learning in Natural Language Processing, College Park, USA, pp. 9–16.
• Baldwin, Timothy & Hozumi Tanaka (1999) Automated Japanese grapheme-phoneme alignment, In Proceedings of the International Conference on Cognitive Science, Tokyo, Japan, pp. 349–54.
• Baldwin, Timothy (1998) Relative Clause Coordination and Subordination in Japanese, In Proceedings of the Australian Natural Language Postgraduate Workshop, Melbourne, Australia, pp. 1–10.
• Baldwin, Timothy, Takenobu Tokunaga & Hozumi Tanaka (1997) Semantic Verb Classes in the Analysis of Head Gapping in Japanese Relative Clauses, In Proceedings of the Natural Language Processing Pacific Rim Symposium ’97 (NLPRS’97), Phuket, Thailand, pp. 409–14.
• Fujii, Atsushi, Kentaro Inui, Timothy Baldwin, Takenobu Tokunaga & Hozumi Tanaka (1997) Towards the Application of Word Sense Disambiguation to Information Extraction, In Proceedings of the International Workshop on Lexically Driven Information Extraction, Frascati, Italy, pp. 39–49.

 

Non-refereed papers/technical reports

• Han, Bo, Marco Lui and Timothy Baldwin (2011) Melbourne Language Group Microblog Track Report, In Proceedings of the Twentieth Text REtrieval Conference (TREC 2011), NIST Special Publication: SP 500-295.
• Baldwin, Timothy and Marco Lui (2010) Multilingual Language Identification: ALTW 2010 Shared Task Dataset, In Proceedings of the 2010 Australasian Language Technology Workshop (ALTW 2010), Melbourne, Australia, pp. 5–7.
• MacKinlay, Andrew and Timothy Baldwin (2009) A Baseline Approach to the RTE5 Search Pilot, In Proceedings of the Text Analysis Conference 2009.
• Baldwin, Timothy, Takenobu Tokunaga and Jun'ichi Tsujii (2009) Obituary: Tanaka Hozumi, Computational Linguistics, 35(4), pp. 479–481.
• Yap, Willy and Timothy Baldwin (2009) Experiments on Pattern-based Relation Learning, University of Melbourne Working Paper.
• Bohnert, Fabian, Ingrid Zukerman, Shlomo Berkovsky, Timothy Baldwin and Elizabeth Sonenberg (2008) Using Interest and Transition Models to Predict Visitor Locations in Museums, Technical Report No. 2008/219, Clayton School of Information Technology, Monash University.
• Baldwin, Timothy (2004) Translation Memory Engines: A Look under the Hood and Road Test, In Proceedings of the 15th International Japanese/English Translation Conference (IJET-15), Yokohama, Japan.
• Uchiyama, Kiyoko and Timothy Baldwin (2004) Kikai-gakushu-ni-yoru Fukudou-doushi no Tagesei-kaishou-hou (A Machine Learning Method for Disambiguating Verb Compounds in Japan), In Proceedings of the 10th Annual Meeting of the Association of Natural Language Processing, Japan, Tokyo, Japan (in Japanese).
• Bilac, Slaven, Timothy Baldwin and Hozumi Tanaka (2004) Modeling Learners’ Cognitive Processes for Improved Dictionary Accessibility, Technical Report tr04-0001, Tokyo Institute of Technology, Tokyo, Japan.
• van der Beek, Leonoor and Timothy Baldwin (2003) Crosslingual Countability Classification: English meets Dutch, LinGO Working Paper 2003-03.
• Baldwin, Timothy and Francis Bond (2002) Multiword Expressions: Some Problems for Japanese NLP, In Proceedings of the Eighth Annual Meeting of the Association of Natural Language Processing, Japan, Keihanna, Japan, pp. 379–82.
• Bilac, Slaven, Timothy Baldwin and Hozumi Tanaka (2002) Construction of a Japanese Learner-Friendly Dictionary Interface, In Proceedings of the Eighth Annual Meeting of the Association of Natural Language Processing, Japan, Keihanna, Japan, pp. 439–42  [Best Paper Award].
• Bond, Francis, Timothy Baldwin and Sanae Fujita (2002) Detecting Alternation Instances in a Valency Dictionary, In Proceedings of the Eighth Annual Meeting of the Association of Natural Language Processing, Japan, Keihanna, Japan, pp. 519–22.
• Baldwin, Timothy, Francis Bond and Kentaro Ogura (2001) Dictionary-driven analysis of Japanese verbal alternations, In Proceedings of the Seventh Annual Meeting of the Association of Natural Language Processing, Japan, Tokyo, Japan, pp. 281–4.
• Baldwin, Timothy, Atsushi Okazaki, Takenobu Tokunaga and Hozumi Tanaka (2001) The Successes and Failures of Lexical and Structural Translation Retrieval, IEICE Technical Report.
• Baldwin, Timothy, Takenobu Tokunaga & Hozumi Tanaka (1999) The parameter-based analysis of Japanese relative clause constructions, In IPSJ SIG Notes, volume 99, no. 95, pp. 55–62.
• Baldwin, Timothy, Takenobu Tokunaga & Hozumi Tanaka (1999) Preliminary analysis of the range and frequency of Japanese verb alternations, In IPSJ SIG Notes, volume 99, no. 95, pp. 139–46.
• Bilac, Slaven, Timothy Baldwin & Hozumi Tanaka (1999) Incremental Japanese grapheme-phoneme alignment, In IPSJ SIG Notes, volume 99, no. 130, pp. 9–16.
• Baldwin, Timothy, Francis Bond & Ben Hutchinson (1999) An alternation-based Japanese valency dictionary architecture, In Proceedings of the Fifth Annual Meeting of the Association of Natural Language Processing, Japan, Tokyo, Japan, pp. 193–6.
• Hutchinson, Ben, Francis Bond & Timothy Baldwin (1999) Construction of an alternation-based English valency dictionary, In Proceedings of the Fifth Annual Meeting of the Association of Natural Language Processing, Japan, Tokyo, Japan, pp. 197–200.
• Baldwin, Timothy, Takenobu Tokunaga & Hozumi Tanaka (1998) Lexical Effects in Verb Sense Disambiguation, In IPSJ SIG Notes, volume 98, no. 209, pp. 47–54.
• Baldwin, Timothy, Takenobu Tokunaga & Hozumi Tanaka (1998) A Computational Account of Modality-based Case Frame Transformation, In Proceedings of the Fourth Annual Meeting of the Association of Natural Language Processing, Fukuoka, Japan, pp. 58–61.
• Baldwin, Timothy, Takenobu Tokunaga & Hozumi Tanaka (1997) Syntactic and Semantic Constraints on Head Gapping in Japanese Relative Clauses, In Proceedings of the Third Annual Meeting of the Association of Natural Language Processing, Kyoto, Japan, pp. 277–80.
• Baldwin, Timothy, Hozumi Tanaka & Takenobu Tokunaga (1997) Analysis of Head Gapping in Japanese Relative Clauses, In IPSJ SIG Notes, volume 97, no. 4, pp. 1–8.

 

KEYNOTE/INVITED TALKS AT CONFERENCES/WORKSHOPS

• Quantifying Uncertainty in Text (and Images), Keynote Talk at the 10th International Conference on Computer Vision & Image Processing, 12 Dec, 2025.
• Evaluating the "Humanism" of Foundation Models: Culture and Safety, Keynote Talk at The First Workshop of Evaluation of Multi-Modal Generation, 19 Jan, 2025.
• Safe, open, locally-aligned language models, Keynote Talk at the 13th International Symposium on Information and Communication Technology, 14 Dec, 2024.
• The Long and Winding Road of NLP: Reflections on the Last 30 Years, Invited Talk at the 30th Anniversary Symposium of the Association for Natural Language Processing Japan, 19 Oct, 2024.
• Jais Climate: Climate Education via Large Language Models, Keynote Talk at the 12th World Environmental Education Congress 2024, 1 Feb, 2024.
• Responsible Generative Artificial Intelligence , Keynote Talk at ACM Workshop on Generative AI, 19 Oct, 2023.
• Analysing Patient Journeys across Clinical Visits to Analyse Antimicrobial Stewardship in Australian Veterinary Clinics, Keynote Talk at the 3rd Workshop on NLP for Medical Conversations, 1 Nov, 2023.
• Fairness and Safety in Artificial Intelligence, Keynote Talk at ICTer 2023, 8 Nov, 2023.
• Musings on Extreme Low-resource NLP: A Play in Four Acts, Keynote Talk at Multi* Workshop, 6 Oct, 2023.
• Fairness in Natural Language Processing, Keynote Talk at ICON 2022, 17 Dec, 2022.
• Terminology in Computational Linguistics, Plenary Panel at COLING 2022, 14 Oct, 2022.
• AI Ecosystems: The Case of Natural Language Processing, Invited Talk at the 1st CASL Workshop, 13 Oct, 2022.
• Fairness in Natural Language Processing, Invited Talk at ODSC APAC 2021, 16 Sep, 2021.
• Reevaluating Summarisation Evaluation, Keynote Talk at Recent Advances in Natural Language Processing (RANLP 2021), 3 Sep, 2021.
• Fairness in Natural Language Processing, Invited Talk at VinAI AI Day 2021, 27 Aug, 2021.
• 2020 in Review, Plenary Panel at AACL-IJCNLP 2020, 5 Dec, 2020.
• Robust, Unbiased Natural Language Processing, Invited Talk at the 2019 Huawei Strategy and Technology Workshop, 15 May, 2019.
• Language and the Shifting Sands of Domain, Space and Time, Invited Talk at the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects, 20 August, 2018.
• Robust, Unbiased Natural Language Processing, Keynote Talk at 3rd Workshop on Representation Learning for NLP, 20 July, 2018.
• Domain and Social Bias in Natural Language Processing: A Case Study in Language Identification, Invited Talk at Grammarly, 13 September, 2017.
• Language Identification in the Wild, Guest Lecture at the Multilingual Processing Workshop 2017, Dublin, Ireland, 5 September, 2017.
• Learning to Label Documents, Invited Talk at the ICML 2017 Workshop on Learning to Generate Natural Language, Sydney, Australia, 10 August, 2017.
• Multiword Expressions at the Grammar-Lexicon Interface, Invited talk at the COLING 2016 Workshop on Grammar and Lexicon: Interactions and Interfaces, 11 December, 2016
• VetCompass: Clinical Natural Language Processing for Animal Health, Invited talk at the Clinical Natural Language Processing Workshop at COLING 2016, 11 December, 2016
• Multiword Expressions: From Theory to Practicum, Invited talk at the Annual Meeting of the Erasmus Mundus LCT Masters, 9 June, 2016
• Putting NLP in Context, Invited talk at CREST International Workshop on Knowledge-intensive Structural NLP, 17 March, 2016
• Multiword Expressions: From Theory to Practicum, Invited talk at Modern Greek MWE 2015, 15 September, 2015
• Composed, Distributed Reflections on Semantics and Statistical Machine Translation, Invited talk at the Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation (SSST-8 2014), 25 October, 2014
• Semantic Analysis of Social Media, Keynote talk at the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014), 24 August, 2014
• The What and Where of Social Media: Trend Analysis and User Geolocation, Invited Talk, ONR Global Workshop, Melbourne, Australia, 25 Feb 2013
• Social Media: Friend or Foe of Natural Language Processing?, Invited Talk, 26th Pacific Asia Conference on Language Information and Computation (PACLIC 26), 10 Nov 2012
• Social Media, ONR Global Workshop, The University of Melbourne, 6 September, 2012
• Symbolic and Statistical Modelling: Time for the Twain to Meet, Invited Talk, NII Workshop on Knowledge-leveraged Computational Thinking through Natural Language Processing and Statistical Logic, 19 Sep 2011
• MWEs and Topic Modelling: Enhancing Machine Learning with Linguistics, Invited Talk, ACL 2011 Workshop on Multiword Expressions, 23 June 2011
• Computationally Enhancing the 3 Rs for Japanese Translators and Learners: Reading, (Word) Retrieving and Remembering, Invited Talk, 20th International Japanese/English Translation Conference (IJET-20), 15 January 2009
• Linguistics and Computational Linguistics: Whither the Twain?, Plenary Speech, University of Melbourne Linguistics & Applied Linguistics Postgraduate Conference 2008, 22 November, 2008
• The Trials and Tribulations of Scalable Deep Linguistic Processing: A View from the Lexicon, Invited Talk, Microsoft Research Asia Workshop on Web-scale Natural Language Processing, 21 February 2008
• Scalable Deep Linguistic Processing: Mind the Lexical Gap, Keynote Talk, 21st Pacific Asia Conference on Language, Information and Computation (PACLIC21), 1 November 2007
• Compositionality and Multiword Expressions: Six of One, Half a Dozen of the Other?, Invited Talk, COLING/ACL 2006 Workshop on Multiword Expressions, Sydney, Australia, 23 July, 2006
• General-Purpose Lexical Acquisition: Procedures, Questions and Results, Invited Talk, Pacific Association for Computational Linguistics 2005, 27 August 2005
• Deep Lexical Acquisition, Public Lecture, Australasian Language Technology Summer School, 11 December 2003

SEMINARS/OTHER TALKS

• Uncertainty Quantification for LLMs: From Hallucination Detection to Stronger Reasoning and Agentic AI, NII, 23 May, 2026.
• Uncertainty Quantification for LLMs: From Hallucination Detection to Stronger Reasoning and Agentic AI, NICT, 23 May, 2026.
• Uncertainty Quantification for LLMs: From Hallucination Detection to Stronger Reasoning and Agentic AI, RIKEN AIP, 22 May, 2026.
• Uncertainty Quantification for LLMs: From Hallucination Detection to Stronger Reasoning and Agentic AI, Institute of Science Tokyo, 4 Mar, 2026.
• Fact-checking Language Models: Generating the Truth, the Whole Truth, and Nothing but the Truth, Tohoku University, 8 May, 2025.
• Safe, open, locally-aligned language models, National Institute of Informatics, 21 February, 2025.
• Fact-checking Language Models: Generating the Truth, the Whole Truth, and Nothing but the Truth, Ho Chi Minh City University of Technology, 17 December, 2024.
• Safe, open, locally-aligned language models, Ho Chi Minh City University of Science, 18 December, 2024.
• Fact-checking Language Models: Generating the Truth, the Whole Truth, and Nothing but the Truth, Hanoi University of Science and Technology, 17 December, 2024.
• Safe, open, locally-aligned language models, VinAI, 16 December, 2024.
• Fact-checking Language Models: Generating the Truth, the Whole Truth, and Nothing but the Truth, Vin University, 16 December, 2024.
• Safe, open, locally-aligned language models, George Mason University, 2 December, 2024.
• Safe, open, locally-aligned language models, University of Maryland College Park, 2 December, 2024.
• Plumbing the Breadth and Depth of LLM Evaluation, National University of Singapore, 1 August, 2024.
• Plumbing the Breadth and Depth of LLM Evaluation, University of Edinburgh, 19 July, 2024.
• LLMs FTW, NII, 15 May, 2024.
• Plumbing the Breadth and Depth of LLM Evaluation, Tokyo Institute of Technology, 13 May, 2024.
• Plumbing the Breadth and Depth of LLM Evaluation, VinUni, 9 Jan, 2024.
• LLMs FTW, VinAI, 9 Jan, 2024.
• Plumbing the Breadth and Depth of LLM Evaluation, Hanoi University of Science and Technology, 8 Jan, 2024.
• LLMs FTW, Posts and Telecommunications Institute of Technology, 8 Jan, 2024.
• Plumbing the Breadth and Depth of LLM Evaluation, Ho Chi Minh City University of Science, 5 Jan, 2024.
• LLMs FTW, Ho Chi Minh City University of Technology, 5 Jan, 2024.
• Fair Cop: Measuring and Improving Fairness in NLP, University of Tokyo, 19 Apr, 2023.
• Fair Cop: Measuring and Improving Fairness in NLP, AIRC, 15 Apr, 2023.
• Fairness in Natural Language Processing, VNU, 22 Dec, 2022.
• Reevaluating Summarisation Evaluation, VinUni, 21 Dec, 2022.
• Fairness in Natural Language Processing, VinAI, 20 Dec, 2022.
• Fairness in Natural Language Processing, MBZUAI NLP Cafe, 1 Nov, 2022.
• Fairness in Natural Language Processing, NAIST, 22 Oct, 2022.
• Reevaluating Summarisation Evaluation, Kyoto University, 22 Oct, 2022.
• Fairness in Natural Language Processing, Tohoku University, 21 Oct, 2022.
• Fairness in Natural Language Processing, Tokyo Institute of Technology, 19 Oct, 2022.
• Reevaluating Summarisation Evaluation, Waseda University, 18 Oct, 2022.
• Multiword Expressions, Introductory Talk at the Workshop on the Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics, 30 Aug, 2021.
• Fairness in AI, Justice Connect webinar, 11 August, 2021.
• Document Quality Assessment, NHK STRL, 1 February, 2021.
• From the Lab to the Wild: Deploying AI in Real-world Settings, Justice Connect webinar, 4 December, 2020.
• From the Lab to the Wild: Deploying Natural Language Processing in Industrial Settings, Mitsubishi Heavy Industries, 29 October, 2020.
• Democratic Accountability and Regression, Sheffield University, 15 October, 2020.
• Document Quality Assessment, Bloomberg CTO Data Science Speaker Series, 14 October, 2020.
• Memory-Augmented Neural Networks for Better Discourse Understanding, Shanghai Jiatong University, 27 November, 2019.
• Memory-Augmented Neural Networks for Better Discourse Understanding, Bytedance, 22 November, 2019.
• Memory-Augmented Neural Networks for Better Discourse Understanding, Chinese Academy of Sciences, 22 November, 2019.
• Robust, Unbiased Natural Language Processing, Shannon.AI, 18 October, 2019.
• Democratic Regression, NHK STRL, 16 Oct, 2019.
• Robust, Unbiased Natural Language Processing, Megagon Labs Tokyo, 10 October, 2019.
• Robust, Unbiased Natural Language Processing, NHK STRL, 14 February, 2019.
• Democratic Regression, Huawei Noah's Ark Lab, 13 May, 2019.
• Robust, Unbiased Natural Language Processing, NHK STRL, 14 February, 2019.
• Robust, Unbiased Natural Language Processing, Fujitsu Laboratories, 13 February, 2019.
• Democratic Regression, Hong Kong Polytechnic University, 22 November, 2018.
• Robust, Unbiased Natural Language Processing, Shanghai Jiaotong University, 21 November, 2018.
• Robust, Unbiased Natural Language Processing, Microsoft Research Asia, 16 November, 2018.
• Robust, Unbiased Natural Language Processing, JD, 15 October, 2018.
• Democratic Regression, Tsinghua University, 15 October, 2018.
• Democratic Regression, Peking University, 12 October, 2018.
• Robust, Unbiased Natural Language Processing, Bytedance, 12 October, 2018.
• Robust, Unbiased Natural Language Processing, Melbourne NLP Meet-up, 21 September, 2018.
• Robust, Unbiased Natural Language Processing, Google Mountain View, 29 June, 2018.
• Democratic Regression, Stanford University NLP Group Golden Hour, 28 June, 2018.
• Robust, Unbiased Natural Language Processing, Amazon Research, 30 May, 2018.
• Robust, Unbiased Natural Language Processing, Google LA, 29 May, 2018.
• Robust, Unbiased Natural Language Processing, Snap Research, 29 May, 2018.
• Embedding Language and Space, Shanghai Jiatong University, 17 October, 2017
• Embedding Language and Space, Peking University, 15 October, 2017
• Embedding Language and Space, Microsoft Research Asia, 13 October, 2017
• Multiword Expressions: From Theory to Practicum, Tokyo Institute of Technology, 21 December, 2016
• Scalable, General-purpose Semantic Learning, Tokyo Institute of Technology, 20 December, 2016
• Scalable, General-purpose Semantic Learning, University of Heidelberg, 5 August, 2016
• Scalable, General-purpose Semantic Learning, University of Stuttgart, 4 August, 2016
• Adventures in Representation Learning Land for Natural Language Processing, Max Planck Institute for Informatics, 1 August, 2016
• To Search Perchance to Find: Improving Information Access over Technical Web User Forums, Linux Users of Victoria, 5 July, 2016
• The Power of Representation, Microsoft Research Asia, 1 June, 2016
• The Power of Representation, Tsinghua University, 30 May, 2016
• Question Answering, guest lecture in Web Search and Text Analysis, 24 May, 2016
• Text Analysis of Social Media, Tsinghua University, 23 November, 2015
• Natural Language Processing: What and Why?, IBM Research, 25 September, 2015
• The Power of Representation in MT Evaluation and Relation Classification, Amazon Berlin, 15 September, 2015
• Text meets Graph Analytics, Xerox Research Centre Europe, 14 September, 2015
• NLP and Social Media, guest lecture in Knowledge Technologies, 4 September, 2015
• Multiword Expressions, guest lecture in Web Search and Text Analysis, 5 May, 2015
• Adding Context to NLP: Context Graphs to the Rescue, The University of Sydney, 17 April, 2015
• Sense Learning with Topic Modelling, South England NLP Meetup, 12 December, 2014
• Text Analysis of Social Media, Copenhagen University, 8 December, 2014
• Text Analysis of Social Media, Xerox Research Centre Europe, 5 December, 2014
• Composed, Distributed Reflections on Semantics and Statistical Machine Translation, Cambridge University NLIP Group Talk, 28 November, 2014
• Text Analysis of Social Media Beyond Twitterdome, Cambridge University Babbage Seminar, 26 November, 2014
• Sense Learning with Topic Modelling, QCRI, 23 October, 2014
• Text Analysis of Social Media, Max Planck Institute for Informatics, 18 July, 2014
• Sense Learning with Topic Modelling, Saarland University, 3 July, 2014
• Text Analysis of Social Media Beyond Twitterdome, Carnegie Mellon University, 20 June, 2014
• Better NLP with Topic Models and Better Topic Models with NLP, National University of Singapore, 29 January, 2014
• Better NLP with Topic Models and Better Topic Models with NLP, Nara Institute of Science and Technology (NAIST), 17 January, 2014
• What are Distributional/Compositional Semantic Models, and What do They Really Learn?, National Institute of Informatics, 16 January, 2014
• Better NLP with Topic Models and Better Topic Models with NLP, Macquarie University, 18 November, 2013
• Wicked Knowledge, Panel at Google Research Workshop, 14 November, 2013
• Social Media: Friend or Foe of Natural Language Processing?, Tohoku University, 21 January, 2013
• Social Media: Friend or Foe of Natural Language Processing?, National Institute of Informatics, 8 January, 2013
• Unlocking the Potential of Social Media through Text Mining, Department of Computing and Information Systems, The University of Melbourne, 21 August, 2012
• Topic Model Interpretation (Variously), Google Tech Talk, 6 February, 2012
• Topic Model Interpretation (Variously), University of Malta, 30 January, 2012
• Topic Model Interpretation (Variously), DFKI, 26 January, 2012
• Unlocking the Potential of Social Media through Text Mining, DFKI Berlin, 23 January, 2012
• Text Mining of Microblogs: Makn Sens a #Twitter, University of Groningen, 16 January, 2012
• Enhancing Topic Models through Automatic Interpretation, Tokyo Institute of Technology, 22 September 2011
• Domain Adaptation for Parse Selection and Tree Blazing, DELPH-IN Summit, 27 June 2011
• To Search, Perchance to Find: Enhanced Information Access over Troubleshooting-oriented Web User Forum Data, University of Oslo, 3 Dec, 2010
• Online Linguistic Exploration: Deeper, Faster, Broader Language Documentation, Linguistics Seminar, Australian National University, 3 November, 2010
• Tagging and Linking Web Forum Posts, Microsoft Research Asia, 24 August, 2010
• Interpreting Topic Models, University of Toronto, 9 July, 2010
• Online Linguistic Exploration: Deeper, Faster, Broader Language Documentation, Language Technology Seminar, The University of Melbourne, 25 June, 2010
• To Search, Perchance to Find: Enhanced Information Access over Troubleshooting-oriented Web User Forum Data, Monash University, 25 May, 2010
• Online Linguistic Exploration: Deeper, Faster, Broader Language Documentation, Center for the Study of Language and Information, Stanford University, 29 April, 2010
• LEXTRACT: Automatic Dictionary Scraping to Enrich the PanLex Database, University of Washington, 21 April, 2010
• Biomedical Literature and Information Access: Search, Navigation and Extraction over MEDLINE, Microsoft Research, 16 April, 2010
• Online Linguistic Exploration: Deeper, Faster, Broader Language Documentation, University of Washington Linguistics Colloquium, 9 April, 2010
• Deep Lexical Acquisition: All Mimsy were the Borogoves, University of Washington, 15 January, 2010
• Information Extraction: Does This have Something to do with That, or not, or don't We Know?, University of Washington, 8 January, 2010
• Deep Linguistic Processing: Putting the Linguistics back into Computational Linguistics, Australian National University, 4 September, 2009
• Biomedical Event Annotation with CRFs and Precision Grammars, DELPH-IN Summit, 21 July 2009
• CRF-based Supertagging, DELPH-IN Summit, 21 July 2009
• Understanding and Personalising Museum Spaces, University of Tilburg, 17 July 2009
• To Search, Perchance to Find: Enhanced Information Access over Troubleshooting-oriented Web User Forum Data, University of Sussex, 15 July 2009
• Linguistics and Computational Linguistics: Whither the Twain?, EACL 2009 Workshop on the Interaction between Linguistics and Computational Linguistics: Virtuous, Vicious or Vacuous?, 30 March, 2009
• Improving Parsing and PP Attachment Performance with Sense Information, Tokyo Institute of Technology, 22 January 2009
• Enhanced Information Access to Troubleshooting-oriented Web User Forum Data, NHK STRL, 16 January 2009
• Computational Models and Tools for Japanese Dictionary Lookup and Language Learning, Tokyo University of Foreign Studies, 15 January 2009
• Enhanced Information Access to Troubleshooting-oriented Web User Forum Data, NICT, 12 December 2008
• Documents, Documents Everywhere, Nor any Meaning to Link, University of Tokyo, 5 December 2008
• Information Access in Technical and Scientific Literature: Search and You May Possibly Find, National Library of Australia, 27 June 2008
• Enhanced Information Access to Troubleshooting-oriented Web User Forum Data, University of Washington, 13 June 2008
• Enhanced Information Access to Troubleshooting-oriented Web User Forum Data, National University of Singapore, 4 June 2008
• Multiword Expressions, guest lecture in CSSE 460 (Human Language Technology), The University of Melbourne, 30 April 2008
• The Syntax and Semantics of Determinerless PPs in English and Dutch, School of Language, The University of Melbourne, 14 March 2008
• The Applications of Language Technology to Linux Troubleshooting, Saarland University, 24 January 2008
• Multiword Expressions, Basque Country University, 11 January 2008
• MRD-based Word Sense Disambiguation: Extensions and Applications, National Institute of Information and Communication Technology, 28 December 2007
• The ILIAD Project: Language Technology Meets Linux Troubleshooting, University of Cambridge, 2 July 2007
• Japanese Words: Insights from Language Technology, Inaugural Workshop on Computational Japanese Studies, 16 March 2007
• Deep Lexical Acquisition in the Wild: A Little Language goes a Long Way, University of Tokyo, 14 March 2007
• Deep Lexical Acquisition in the Wild: A Little Language goes a Long Way, NHK StrL, 14 March 2007
• Deep Lexical Acquisition in the Wild: A Little Language goes a Long Way, University of Washington, 5 March 2007
• Multilingual Deep Lexical Acquisition for HPSGs via Supertagging, Tokyo Institute of Technology, 16 January 2007
• Baseline Methods for Dictionary-based Japanese Word Sense Disambiguation, NTT Communication Science Laboratories, 10 January 2007
• Multilingual Deep Lexical Acquisition for HPSGs via Supertagging, Keihanna Symposium, 10 January 2007
• Next Generation Search, Speed Talk at the HCSNet Workshop on Next Generation Search, Melbourne, Australia, 21 September, 2006
• Multiword expressions, guest lecture in CSSE 460 (Human Language Technology), The University of Melbourne, 3 May 2006
• Representing and Modelling the Lexical Semantics of English Verb Particle Constructions, panel talk at the Third ACL-SIGSEM Workshop on Prepositions, EACL 2006, 3 April 2006
• Deep Lexical Acquisition, invited talk, Saarland University, 30 March 2006
• Deep Lexical Acquisition, The University of Melbourne/Monash University NLP day, Monash University, 7 November 2005
• Multiword expressions, guest lecture in CSSE 460 (Human Language Technology), The University of Melbourne, 5 October 2005
• Countability Learning: The Good, the Bad and the Ugly, University of Oslo, 22 April 2005
• Multi-stratal Deep Lexical Acquisition, Language Technology Seminar, The University of Melbourne, 28 October 2004
• Lexical Acquisition, guest lecture in CSSE 460 (Human Language Technology), The University of Melbourne, 18 October 2004
• Multiword expressions, guest lecture in CSSE 460 (Human Language Technology), The University of Melbourne, 11 October 2004
• LREC Wrap-up, NTT Communication Science Laboratories, 18 June 2004
• The Deep Lexical Acquisition of English Verb-particle Constructions, Keihanna Symposium, 7 May 2004
• Improving Dictionary Accessibility by Maximizing Use of Available Knowledge, Stanford NLP Reading Group, 14 February 2004
• Deep Lexical Acquisition, Basser Seminar, University of Sydney School of Information Technologies, 12 December 2003
• LinGO: Deep Processing in the Big City, guest lecture in Linguistics 120 (Introduction to Syntax), Stanford Department of Linguistics, 10 November 2003
• Road-testing the English Resource Grammar over the British National Corpus, 2003 CSLI-Japan Workshop on Natural Language Processing, 29 September 2003
• Modeling Learners’ Cognitive Processes for Improved Dictionary Accessibility, 10th International Conference of the European Association for Japanese Studies, 28 August 2003
• Learning Countability in English and Dutch, Stanford NLP Reading Group, 7 February 2003
• Chunking the BNC, NTT Communication Science Laboratories, 22 November 2002
• Multiword expressions, CSLI-NTT 2002 workshop, NTT Communication Science Laboratories, 10 September 2002
• Chunk Parsing as Viewed from the CoNLL-2000 Chunking Shared Task, Stanford NLP Reading Group, 10 May 2002
• Word Sense Disambiguation: Reflections from Senseval-2, Stanford NLP Reading Group, 30 November 2001 (co-presented with Kristina Toutanova)
• Translation retrieval, NTT Communication Science Laboratories, 19 March 2001
• Conceptual distance and density, NTT Communication Science Laboratories, 19 March 2001
• A dictionary-driven analysis of Japanese verb alternations, CSLI, Stanford, 16 August 2000
• The extraction of Japanese alternations, and their application in an expanded valency dictionary, NTT Communication Science Laboratories, 15 June 2000
• Alternation in Japanese, The 5th Morphology and Lexicon Forum, 7 August 1999
• Japanese relative clauses revisited: the full story, NTT Communication Science Laboratories, 5 November 1998
• Towards a low-cost, robust verb sense disambiguation system, NTT Communication Science Laboratories, 5 November 1998
• The analysis of Japanese relative clauses, NTT Communication Science Laboratories, 13 March 1998

TEACHING EXPERIENCE

2020	School of Computing and Information Systems, The University of Melbourne Subject coordinator for Foundations of Computing (COMP10001)
2019	School of Computing and Information Systems, The University of Melbourne Subject coordinator for Foundations of Computing (COMP10001)
	Tokyo Institute of Technology Co-lecturer of Advanced Topics in Computing C
2018	School of Computing and Information Systems, The University of Melbourne Subject coordinator for Foundations of Computing (COMP10001)
2017	School of Computing and Information Systems, The University of Melbourne Subject coordinator for Foundations of Computing (COMP10001) Subject coordinator for Machine Learning (COMP30027)
2016	Department of Computing and Information Systems, The University of Melbourne Subject coordinator for Foundations of Computing (COMP10001)
	International Summer School on Web Science and Technology Presenter of course on Social Media and Text Analytics
2015	Department of Computing and Information Systems, The University of Melbourne Subject coordinator for Foundations of Computing (COMP10001)
2014	Department of Computing and Information Systems, The University of Melbourne Subject coordinator for Foundations of Computing (COMP10001)
	Erasmus Mundus European Masters in Language Technology Presenter of short course on Text Analysis of Social Media
2013	Department of Computing and Information Systems, The University of Melbourne Subject coordinator for Foundations of Computing (COMP10001)
2012	Department of Computing and Information Systems, The University of Melbourne Subject coordinator for Foundations of Computing (COMP10001) Subject coordinator for Knowledge Technologies (COMP30018)
2011	Department of Computer Science and Software Engineering, The University of Melbourne Subject co-coordinator for Informatics 1 (INFO10001) Subject coordinator for Knowledge Technologies (COMP30018) Subject co-coordinator for Statistical and Evolutionary Learning (COMP90051)
2010	Department of Computer Science and Software Engineering, The University of Melbourne Subject co-coordinator for Informatics 1 (600-151) Subject coordinator for Knowledge Technologies (433-327)
2009	Department of Computer Science and Software Engineering, The University of Melbourne Subject co-coordinator for Informatics 1 (600-151) Subject coordinator for Data on the Web (433-352)
2008	Department of Computer Science and Software Engineering, The University of Melbourne Subject co-coordinator for Informatics 1 (600-151) Subject coordinator for Machine Learning (433-484/684) Subject coordinator for Data on the Web (433-352)
	Erasmus Mundus European Masters in Language Technology Presenter of short course on Empirical Approaches to Multilingual Lexical Acquisition
2007	Department of Computer Science and Software Engineering, The University of Melbourne Subject co-coordinator for Algorithms and Data Structures (433-253) Subject coordinator for Machine Learning (433-484/684) Subject coordinator for Data on the Web (433-352)
2006	Department of Computer Science and Software Engineering, The University of Melbourne Subject co-coordinator for Algorithms and Data Structures (433-253) Subject coordinator for Machine Learning (433-484/684) Subject coordinator for Data on the Web (433-352)
	European Summer School on Language, Logic and Information (ESSLI 2006) Co-presenter of fundamental course on Data-Driven Methods for Acquiring Linguistic Information
	ACL/HCSNet Advanced Program in Natural Language Processing Theme convenor and co-presenter of Lexical Semantics course
2005	Department of Computer Science and Software Engineering, The University of Melbourne Subject coordinator and curriculum developer for Machine Learning (433-680) Subject coordinator and curriculum developer for Advanced Topic in Computer Science (433-395)
2004	15th International Japanese/English Translation Conference (IJET-15) Course on Translation Memory Engines: A Look under the Hood and Road Test
2004	Australasian Language Technology Summer School (ALTSS 2004) Advanced course on Multiword Expressions
2002–2004	Department of Linguistics, Stanford University Co-instructor of Readings in Natural Language Processing
2003	Department of Linguistics, Stanford University Co-instructor of An Introduction to Computational Word Learning (Fall Quarter)
2002	9th International Conference on Theoretical and Methodological Issues in Machine Translation (TMI 2002) Tutorial on Translation Memories
1999–2000	Tokyo Institute of Technology TA for the second-year undergraduate subject Experiments in Computer Science II
1995	Japanese and Chinese Department, The University of Melbourne Part-time lecturer for Directorate of Education-run Japanese language course for primary and secondary Japanese teachers in rural areas of Victoria.

STUDENT SUPERVISION

2025–	Bao Gia Ho Dinh (MSc MBZUAI; co-supervised with Masahiro Kaneko)
2025–	Khang Nhat Hoang (PhD MBZUAI; co-supervised with Yova Kementchedjhieva and Artem Shlemanov)
2025–	Renxi Wang (PhD MBZUAI; co-supervised with Fajri Koto and Haonan Li)
2025–	Daria Galimzianova (PhD MBZUAI; co-supervised with Tatsuki Kuribayashi)
2024–	Saeed Almheiri (PhD MBZUAI; co-supervised with Fajri Koto)
2022–	Go Inoue (PhD MBZUAI; co-supervised with Nizar Habash)
2022–	Mark Summerfield (PhD The University of Melbourne; co-supervised with Andrew Christie)
2022–	Rui Xing (PhD The University of Melbourne; co-supervised with Jey Han Lau)
2021–	Xiyuan (Emma) Zhang (PhD The University of Melbourne; co-supervised with Noel Faux and Ben Goudey)
2021–2026	Jinrui Yang (PhD The University of Melbourne; co-supervised with Trevor Cohn)
2022–2026	Sayantan Dasgupta (PhD The University of Melbourne; co-supervised with Trevor Cohn and Ed Hovy)
2021–2025	Gisela Vallejo (PhD The University of Melbourne; co-supervised with Lea Frermann)
2019–2025	Dalin Wang (PhD The University of Melbourne; co-supervised with Ed Hovy)
2020–2023	Hung Thinh Truong (PhD The University of Melbourne; co-supervised with Karin Verspoor and Trevor Cohn)
2020–2023	Junjie Gao (MSc MBZUAI; co-supervised with Xudong Han and Haonan Li)
2024–2026	Ivan Rodkin (MSc MBZUAI; supervised with Artem Shelmanov)
2022–2024	Yichen Huang (MSc MBZUAI)
2022–2024	Qisheng Liao (MSc MBZUAI)
2020–2023	Takashi Wada (PhD The University of Melbourne; co-supervised with Jey Han Lau)
2020–2022	Siyang Wang (MSc(CS) The University of Melbourne; co-supervised with Simon Šuster)
2020	Chenbang Huang (MIT The University of Melbourne; co-supervised with Aili Shen)
2020	Qian Sun (MIT The University of Melbourne; co-supervised with Aili Shen)
2020	Wayan Oger Vihikan (MIT The University of Melbourne; co-supervised with Meladel Mistica)
2020–2024	Yulia Otmakhova (PhD The University of Melbourne; co-supervised with Karin Verspoor and Jey Han Lau)
2019–2023	Yuxia Wang (PhD The University of Melbourne; co-supervised with Karin Verspoor)
2018–2019	Tatsuya Aoki (visiting PhD Tokyo Institute of Technology)
2019–2020	Gaurav Arora (MSc(CS) The University of Melbourne; co-supervised with Afshin Rahimi)
2017–2024	Shraey Bhatia (PhD The University of Melbourne; co-supervised with Jey Han Lau)
2018–2019	Leo Bouillet (MSc(CS) The University of Melbourne)
2018–2022	Fajri Koto (PhD The University of Melbourne; co-supervised with Jey Han Lau)
2018–2022	Brian Hur (PhD The University of Melbourne; co-supervised with James Gilkerson, Laura Hardefeldt, and Karin Verspoor)
2017–	Anirudh Joshi (PhD The University of Melbourne; co-supervised with Richard Sinnott and Cecile Paris)
2018–2022	Haonan Li (PhD The University of Melbourne; co-supervised with Martin Tomko and Maria Vasardani)
2016–2020	Yitong Li (PhD The University of Melbourne; co-supervised with Trevor Cohn)
2016–2020	Fei Liu (PhD The University of Melbourne; co-supervised with Trevor Cohn)
2016–2021	Nitika Mathur (PhD The University of Melbourne; co-supervised with Trevor Cohn)
2019–2020	Saumya Pandey (MSc(CS) The University of Melbourne; co-supervised with Lea Frermann)
2019	Karen Qu (MIT The University of Melbourne; co-supervised with Afshin Rahimi)
2017–2020	Aili Shen (PhD The University of Melbourne; co-supervised with Jianzhong Qi and Bahar Salehi)
2017–2020	Shivashankar Subramanian (PhD The University of Melbourne; co-supervised with Trevor Cohn)
2019–2020	Haowen Tang (MSc(CS) The University of Melbourne)
2018–2019	Jun Wang (MSc(CS) The University of Melbourne; co-supervised with Graeme Gange)
2019–2020	Fan Ye (MSc(CS) The University of Melbourne; co-supervised with Afshin Rahimi and Simon Šuster)
2019–2020	Shuanglong You (MSc(CS) The University of Melbourne; co-supervised with Victor Fedyashov)
2015–2019	Ekaterina Vylomova (PhD The University of Melbourne; co-supervised with Trevor Cohn)
2018–2019	Navnita Nandakumar (MSc(CS) The University of Melbourne; co-supervised with Bahar Salehi)
2019	Qianji Di (MIT The University of Melbourne; co-supervised with Ekaterina Vylomova)
2017–2018	Jinxiang Wang (MSc(CS) The University of Melbourne)
2018	Jingyuan Zhang (MIT The University of Melbourne)
2015–2017	Steven Xu (MSc(CS) The University of Melbourne; co-supervised with Jey Han Lau)
2016–2017	Katharine Cheng (MSc(CS) The University of Melbourne; co-supervised with Karin Verspoor)
2016–2017	Viet Nguyen (MSc(CS) The University of Melbourne; co-supervised with Julian Brooke)
2016–2017	Shraey Bhatia (MSc(CS) The University of Melbourne; co-supervised with Jey Han Lau)
2017	King Chan (PGDip The University of Melbourne; co-supervised with Julian Brooke)
2016	Ionut-Teodor Sorodoc (Erasmus Mundus Masters student; co-supervised with Jey Han Lau)
2015	Fei Liu (MSSE The University of Melbourne; co-supervised with Maria Vasardani)
2014–2018	Afshin Rahimi, PhD The University of Melbourne (co-supervised with Trevor Cohn)
2014–2018	Doris Hoogeveen, PhD The University of Melbourne (co-supervised with Karin Verspoor)
2014–2017	Andrew Bennett, MSc(CS) The University of Melbourne
2014	Nitika Mathur, MSc(CS) The University of Melbourne (co-supervised with Yvette Graham)
2013–2014	Xiwei Wang, MSc(CS) The University of Melbourne (co-supervised with Yvette Graham)
2013–2014	Andrew Chester, MSc(CS) The University of Melbourne (co-supervised with Tony Wirth)
2013–2016	Bahar Salehi, PhD The University of Melbourne (co-supervised with Paul Cook)
2013–2014	Siming Wang, PGDip The University of Melbourne (co-supervised with Alistair Moffat)
2011–2013	Spandana Gella, MSc(CS) The University of Melbourne (co-supervised with Paul Cook)
2011–2018	Ned Letcher, PhD The University of Melbourne (co-supervised with Emily Bender)
2011–2012	Matej Korvas, MSc(CS) The University of Melbourne
2011–2012	Igor Tytyk, MSc(CS) The University of Melbourne
2011–2012	Jared Willett, MSc(CS) The University of Melbourne (co-supervised with David Martinez and Angus Webb)
2010	Ned Letcher, BSc(Hons) The University of Melbourne (thesis title: Visualising the Impact of Changes to Precision Grammars)
2010–	Marco Lui, PhD The University of Melbourne
2010–2014	Bo Han, PhD The University of Melbourne (co-supervised with Paul Cook)
2010–	Li Wang, PhD The University of Melbourne (co-supervised with Su Nam Kim)
2009–2013	Jey Han Lau, PhD The University of Melbourne (co-supervised with Dave Newman)
2009–	Michael Niemann, PhD Monash University (external supervisor; co-supervised with Henry Linger)
2009–2013	Clint Burfoot, PhD The University of Melbourne (co-supervised with Steven Bird)
2009–2014	Meladel Mistica, PhD Australian National University (external supervisor; co-supervised with Jane Simpson and Avery Andrews)
2009–2018	Jim Breen, PhD The University of Melbourne (co-supervised with Francis Bond)
2009–2016	Richard Fothergill, PhD The University of Melbourne
2009	Li Wang, MIT The University of Melbourne (minor thesis project title: Thread and Post Classification Over Technical User Forum Data)
2009	Ben White, MIT The University of Melbourne (minor thesis project title: Binding Software Version Numbers to Named Entities for Information Access)
2008	Richard Penman, BE(SE) The University of Melbourne (directed studies project title: Scraping Web Pages)
2008	Paul Joseph, MSSE The University of Melbourne (project title: Restoring Punctuation and Casing in English Text)
2008	Lejoe Kuriakose, MEDC The University of Melbourne (project title: Investigation of Tracking Technologies for Indoor Environment)
2008–2013	Willy Yap, PhD The University of Melbourne
2008–2012	Andrew MacKinlay, PhD The University of Melbourne
2007–2012	Karl Grieser, PhD The University of Melbourne (co-supervised with L. Sonenberg)
2007	Willy Yap, BCS(Hons) The University of Melbourne (thesis title: Context-sensitive glossing of Japanese web pages)
2007	Michael Yang, BCS(Hons) The University of Melbourne (thesis title: Dynamically Detecting and Modelling the Visitor's Interests in a Museum Environment, co-supervised with S. Bird)
2007	Sumukh Ghodke, MSSE The University of Melbourne (project title: Towards a Glass Box Machine Learning Toolkit: A Case Study on Feature Selection and Discretization)
2005–2008	Su Nam Kim, PhD The University of Melbourne (thesis title: Statistical Modeling of Multiword Expressions)
2005–2010	Jeremy Nicholson, PhD The University of Melbourne (discontinued)
2004–2010	Lars Yencken, PhD The University of Melbourne (thesis title: Orthographic Support for Passing the Reading Hurdle in Japanese)
2003–2008	Patrick Ye, PhD The University of Melbourne (thesis title: Natural Language Understanding in Controlled Virtual Environments, co-supervised with S. Bird)
2003–2007	Phil Blunsom, PhD The University of Melbourne (thesis title: Structured Classification for Multilingual Natural Language Processing, co-supervised with S. Bird and J. Curran)
2006	Aidan Furlan, BCS(Hons) The University of Melbourne (thesis title: The Production of Meaningful Route Directions Using Landmark Extraction; co-supervised with A. Klippel)
2006	Karl Grieser, BSc(Hons) The University of Melbourne (thesis title: Analysis and Prediction of User Behavious in a Museum Environment; co-supervised with S. Bird)
2004–2006	Rebecca Dridan, MEng The University of Melbourne (thesis title: Using Minimal Recursion Semantics in Japanese Question Answering; co-supervised with S. Bird)
2004–2006	Edward Ivanovic, MEng The University of Melbourne (thesis title: Automatic Instant Messaging Dialogue Using Statistical Models and Dialogue Acts; co-supervised with S. Bird)
2005	Andrew MacKinlay, BSc(Hons) The University of Melbourne (thesis title: The Effects of Part-of-Speech Tagsets on Tagger Performance)
2004–2005	Jeremy Nicholson, BCS(Hons) The University of Melbourne (thesis title: Statistical Interpretation of Compound Nouns)
2004	Shameel Ahmad, Symbolic Systems undergraduate intern Stanford University (project title: Learning Lexical Semantics from Corpus Data)
2003	Becky Neil, Symbolic Systems undergraduate intern Stanford University (project title: Pontevecchio: Bridging the Gap between Java applications and Lisp Parsers)
2003	Ara Kim, Symbolic Systems undergraduate intern Stanford University (project title: Testing the ERG on the British National Corpus)
2002	Colin Bannard, Master’s the University of Edinburgh (thesis title: Investigating Features for Automatically Inferring the Semantics of Verb-Particle Constructions from Corpora of English Text)
2000–2001	Ryo Okumura, final-year undergraduate the Tokyo Institute of Technology (thesis title: An Intelligent Dictionary Interface for Japanese Learners)
1999	Slaven Bilac, undergraduate exchange the Tokyo Institute of Technology from the University of Washington (project title: Incremental Japanese grapheme-phoneme alignment)

RESEARCH STAFF

2026–	Artem Vazhentsev (Postdoc; MBZUAI)
2025–	Harry Stuart (Research Engineer; MBZUAI)
2023–	Xudong Han (Research Scientist; MBZUAI)
2023–	Masahiro Kaneko (Postdoc; MBZUAI)
2023–2026	Kemal Kurniawan (Research Fellow; The University of Melbourne)
2022–2026	Artem Shelmanov (Senior Research Scientist; MBZUAI)
2022–2025	Haonan Li (Postdoc; MBZUAI)
2023–2025	Tatsuki Kuribayashi (Postdoc; MBZUAI)
2023–2024	Zeerak Talat (Research Scientist; MBZUAI)
2022–2024	Fajri Koto (Postdoc; MBZUAI)
2020–2024	Simon Šuster (Research Fellow; The University of Melbourne)
2022–2023	Biaoyan Fang (Research Fellow; The University of Melbourne)
2019–2022	Victor Fedyashov (Research Fellow; The University of Melbourne)
2020–2022	Aili Shen (Research Fellow; The University of Melbourne)
2019–2021	Meladel Mistica (Research Fellow; The University of Melbourne)
2020–2021	Shivashankar Subramanian (Research Fellow; The University of Melbourne)
2018–2019	Afshin Rahimi (Research Fellow; The University of Melbourne)
2017–2019	Bahar Salehi (Research Fellow; The University of Melbourne)
2015–2017	Julian Brooke (McKenzie Postdoctoral Fellow; The University of Melbourne)
2016–2017	Andrew Bennett (Research Associate; The University of Melbourne)
2014–2016	Huizhi Liang (Research Fellow; The University of Melbourne)
2015–2016	Joel Nothman (Research Fellow; The University of Melbourne)
2014	Angelos Molfetas (Research Fellow; The University of Melbourne)
2012–2014	Yvette Graham (Research Fellow; The University of Melbourne)
2011–2014	Paul Cook (McKenzie Postdoctoral Fellow; The University of Melbourne)
2013	Jey Han Lau (Research Fellow; The University of Melbourne)
2009–2011	Rebecca Dridan (Research Fellow; The University of Melbourne)
2011	Gintarė Grigonytė (Visiting Research Fellow; The University of Melbourne)
2009–2010	Su Nam Kim (Research Fellow; The University of Melbourne)
2009–2010	Patrick Ye (Research Fellow; The University of Melbourne)
2007–2009	David Martinez (Research Fellow; The University of Melbourne)
2009–2010	Marco Lui (Research Assistant; The University of Melbourne)
2009	Kapil Gupta (Research Fellow; The University of Melbourne)
2008–2009	Richard Penman (Research Assistant; The University of Melbourne)
2007–2008	Shlomo Berkovsky (Research Fellow; The University of Melbourne)

MASTERS/PHD EXAMINATION

Examiner for PhD theses from Aix Marseille University (France), Australian National University (Australia), Carnegie Mellon University (USA), Charles University (Czech Republic), Dublin City University (Ireland), Flinders University (Australia), Georgia Tech (USA), Groningen University (the Netherlands), The Hong Kong Polytechnic University (Hong Kong), Macquarie University (Australia), Nanyang Technological University (Singapore), National University of Singapore (Singapore), Saarland University (Germany), University of Geneva (Switzerland), University of Olso (Norway), The University of Sydney (Australia), University of Toronto (Canada), University of Western Australia (Australia).

PROFESSIONAL ACTIVITIES

• International Advisory Committee for NICT (2025—)
• International Advisory Board for NII (2025—)
• Advisor for Everlyn (2025—)
• Quality Expert Group for University of Technology Nuremberg (2026—)
• Advisory Board of ACL SIGDAT and ACL SIGLEX
• Permanent Member of the International Committee on Computational Linguistics (2014—)
• President, Association for Computational Linguistics (2022)
• Scientific Advisor, NHK Science & Technology Research Laboratories (2019—2022)
• General Chair of the 10th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC2021)
• Tutorial Chair for AACL-IJCNLP 2020
• Ethics Committee for COLING 2020
• Tutorials Chair for EMNLP-IJCNLP 2019
• Local Organiser for ACL 2018
• Workshop Chair for COLING 2018
• Editorial board of Transactions of the Association for Computational Linguistics (2015–)
• Associate Editor for AI Access books (2013–)
• Editorial board of Language Resources and Evaluation (2010–2016)
• Secretary of the Australasian Language Technology Association (2013–2014)
• Workshop Chair for COLING 2014
• Programme Chair for the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013)
• Programme Chair for the Second Joint Conference on Lexical and Computational Semantics (*SEM 2013)
• President of the Australasian Language Technology Association (2011–2012)
• Book reviewer for CSLI Publications and Springer
• Editorial board of Computational Linguistics (2006–2008)
• Guest editor of special issue of Computational Linguistics on Prepositions in Applications
• Mentoring Chair for ACL HLT 2011
• Programme chair for the EACL 2009 Workshop on the Interaction between Linguistics and Computational Linguistics: Virtuous, Vicious or Vacuous?
• Exhibits chair for ACL-IJCNLP 2009
• Co-organiser of the Australian Computational and Linguistics Olympiad (OzCLO) 2008–2009
• Workshop chair for IJCNLP 2008
• Local chair for PACLING 2007
• Programme chair for the ACL 2007 Workshop on Deep Linguistic Processing
• Exhibits Co-chair for ACL-IJCNLP 2009
• Co-organiser of the Inaugural Workshop on Computational Japanese Studies
• Publicity chair for COLING/ACL 2006
• Programme chair for Frontiers in Linguistically Annotated Corpora 2006
• Programme chair for Third ACL-SIGSEM Workshop on Prepositions
• Programme chair for 2005 Australasian Language Technology Workshop
• Programme chair for ACL 2005 Workshop on Deep Lexical Acquisition
• Panelist for the NAACL HLT 2010 Student Research Workshop
• Panelist for the NAACL HLT 2009 Student Research Workshop
• Panelist for EACL 2009 Student Research Workshop
• Panelist for the ACL 2008 Student Research Workshop
• Member of the HCSNet Summer School Planning Committee (2005)
• Panelist at the ACL 2004 Student Research Workshop
• Local organiser for the 2003 CSLI-Japan Workshop on Natural Language Processing



• Best Paper Award committee: ACL 2024, ACL 2022, ACL-IJCNLP 2021, COLING 2020, EMNLP-IJCNLP 2019, ACL 2018, COLING 2016, ACL-IJCNLP 2015
• Reviewer for Australian Research Council (ARC), Dutch Research Council (NWO), Israel Science Foundation (ISF), National Science Foundation (NSF), Qatar National Research Foundation (QNRF), Royal Society, Swiss National Science Foundation (SNF).

NON-ACADEMIC EMPLOYMENT HISTORY: