Professor Tim Baldwin

  • Room: Level: 08 Room: 8.21
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Natural Language Processing (Text mining, social media analytics, text anallytics)

Personal webpage

http://people.eng.unimelb.edu.au/tbaldwin/

Biography

Prof Timothy Baldwin is a Professor in the Department of Computing and Information Systems, The University of Melbourne, an Australian Research Council Future Fellow, and a contributed research staff member of NICTA Victoria. He has previously held visiting positions at the University of Washington, University of Tokyo, Saarland University, and NTT Communication Science Laboratories. His research interests include text mining of social media, computational lexical semantics, information extraction and web mining, with a particular interest in the interface between computational and theoretical linguistics. Current projects include web user forum mining, text mining of Twitter, and intelligent interfaces for Japanese language learners. He is currently Secretary of the Australasian Language Technology Association, and a member of the Executive Committee of the Asian Federation of Natural Language Processing. Tim completed a BSc(CS/Maths) and BA(Linguistics/Japanese) at The University of Melbourne in 1995, and an MEng(CS) and PhD(CS) at the Tokyo Institute of Technology in 1998 and 2001, respectively. Prior to commencing his current position at The University of Melbourne, he was a Senior Research Engineer at the Center for the Study of Language and Information, Stanford University (2001-2004).

Recent publications

  1. Shivashankar, S.; Baldwin, T.; Brooke, J.; Cohn, T. Pairwise webpage coreference classification using distant supervision. Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017. International World Wide Web Conferences Steering Committee. 2019, pp. 841-842. DOI: 10.1145/3041021.3054224
  2. Salehi, B.; Spina, D.; Moffat, A.; Sadeghi, S.; Scholer, F.; Baldwin, T.; Cavedon, L.; Sanderson, M.; Wong, W.; Zobel, J. A Living Lab Study of Query Amendment in Job Search. 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018. ASSOC COMPUTING MACHINERY. 2018, pp. 905-908. DOI: 10.1145/3209978.3210082
  3. Mccaughey, T.; Budden, DM.; Sanfilippo, PG.; Gooden, GEC.; Fan, L.; Fenwick, E.; Rees, G.; Macgregor, C.; Si, L.; Chen, C.; Liang, HH.; Pebay, A.; Baldwin, T.; Hewitt, AW. A Need for Better Understanding Is the Major Determinant for Public Perceptions of Human Gene Editing. Human Gene Therapy. MARY ANN LIEBERT, INC. 2018, Vol. 30, Issue 1. DOI: 10.1089/hum.2018.033
  4. Spina, D.; Maistro, M.; Ren, Y.; Sadeghi, S.; Wong, W.; Baldwin, T.; Cavedon, L.; Moffat, A.; Sanderson, M.; Scholer, F.; Zobel, J. A preliminary comparison of job, talent, and web search. CEUR Workshop Proceedings. CEUR Workshop Proceedings. 2018, Vol. 2140.
  5. Subramanian, S.; Baldwin, T.; Cohn, T. Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 2: Short Papers. ACL Anthology. 2018, pp. 182-188.
  6. Baldwin, T.; Cohn, T.; Brooke, J.; Lau, JH.; Hammond, A. Deep-speare: A joint neural model of poetic language, meter and rhyme. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 1: Long Papers. ACL Anthology. 2018, pp. 1948-1958.
  7. Hoogeveen, D.; Bennett, A.; Li, Y.; Verspoor, KM.; Baldwin, T. Detecting misflagged duplicate questions in community question-answering archives. 12th International AAAI Conference on Web and Social Media, ICWSM 2018. AAAI Press. 2018, pp. 112-120.
  8. Subramanian, S.; Cohn, T.; Baldwin, T. Hierarchical Structured Model for Fine-to-Coarse Manifesto Text Analysis. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2018, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 1 (Long Papers). Association for Computational Linguistics. 2018, pp. 1964-1974.
  9. Liu, F.; Cohn, T.; Baldwin, T. Narrative Modeling with Memory Chains and Semantic Supervision. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 2: Short Papers. ACL Anthology. 2018, pp. 278-284.
  10. Liu, F.; Cohn, T.; Baldwin, T. Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-Based Sentiment Analysis. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 2 (Short Papers). Association for Computational Linguistics. 2018, pp. 278-283.
  11. Rahimi, A.; Baldwin, T.; Cohn, T. Semi-supervised User Geolocation via Graph Convolutional Networks. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 1: Long Papers. ACL. 2018, pp. 2009-2019.
  12. Breen, J.; Baldwin, T.; Bond, F. The company they keep: Extracting Japanese neologisms using language patterns. GWC 2018 - 9th Global WordNet Conference. Association for Computational Linguistics. 2018, Vol. 2018-January.
  13. Li, Y.; Baldwin, T.; Cohn, T. Towards Robust and Privacy-preserving Text Representations. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 2: Short Papers. ACL Anthology. 2018, pp. 25-30.
  14. Hoogeveen, D.; Wang, L.; Baldwin, T.; Verspoor, KM. Web forum retrieval and text analytics: A survey. Foundations and Trends® in Information Retrieval. 2018, Vol. 12, Issue 1, pp. 1-167. DOI: 10.1561/1500000062
  15. Li, Y.; Baldwin, T.; Cohn, T. What’s in a Domain? Learning Domain-Robust Text Representations using Adversarial Training. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 2 (Short Papers). Association for Computational Linguistics. 2018, pp. 474-479.
  16. Rahimi, A.; Cohn, T.; Baldwin, T. A neural model for user geolocation and lexical dialectology. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 2: Short Papers. ACL Anthology. 2017, Vol. 2, pp. 209-216. DOI: 10.18653/v1/P17-2033
  17. Graham, Y.; Baldwin, T.; Moffat, A.; Zobel, J. Can machine translation systems be evaluated by the crowd alone. Natural Language Engineering. CAMBRIDGE UNIV PRESS. 2017, Vol. 23, Issue 1, pp. 3-30. DOI: 10.1017/S1351324915000339
  18. Liu, F.; Baldwin, T.; Cohn, T. Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields. Proceedings of the Eighth International Joint Conference on Natural Language Processing, IJCNLP 2017, Taipei, Taiwan, November 27 - December 1, 2017 - Volume 1: Long Papers. ACL Anthology. 2017, Vol. abs/1709.03637, pp. 555-565.
  19. Vylomova, E.; Cotterell, R.; Baldwin, T.; Cohn, T. Context-aware prediction of derivational word-forms. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017, Valencia, Spain, April 3-7, 2017, Volume 2: Short Papers. Unknown. 2017, Vol. 2, pp. 118-124.
  20. Rahimi, A.; Baldwin, T.; Cohn, T. Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017. ACL Anthology. 2017, Vol. abs/1708.04358, pp. 167-176.

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile