I have started working with Dr. Han on this research topic as research assistant since Spring 2003-04. We aim at applying natural language processing technique like WSD to information extraction, text mining and semantic web. Therefore, apart from the algorithm of WSD itself, we pay much attention to public resources like WordNet, generic methods such as Expectation Maximization (EM), Maximum Entropy (ME) and Hidden Markov Model (HMM). We also cover some papers in the area of text mining, semtantic web and ontology.

The papers I presented are listed as below. For some of them, slides are available.

• E. Agirre, G. Rigau, L. Padro and J. Atserials, Combining Supervised and Unsupervised Lexical Knowledge Methods for Word Sense Disambiguation, Computer and the Humanities, Vol 34, 2000, P103-108. Presentation
• Eneko Agirre, Olatz Ansa, David Martinez and Eduard Hovy, Enriching WordNet Concepts with Topic Signatures, Proceedings of the NAACL workshop on WordNet and Other lexical Resources, Pittsburg, June 2001. Presentation
• Yoshua Bengio, Christopher Kermovant, Extracting Hidden Sense Probabilities from Bi-texts, Technical report, TR 1231, Departementd¡¯informatique et recherche operationnelle, Uni-versite de Montreal, 2003.
• Adam L. Berger, Stephen A. Della Pietra, Vincent A. Della Pietra, A Maximum Entropy Approach to Natural Language Processing, Computational Linguistics, Volume 22, Number 1, 1996. Presentation
• Indrajit Bhattacharya, Lise Getoor, Yoshua Bengio, Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models, in Proceedings of the Annual Meeting of ACL 2004. Presentation
• Rebecca F. Bruce, Janyce M. Wiebe, Decomposable Modeling in Natural Language Processing, Computational Linguistics, Volume 25, Number 2, 1999.
• Martin Chodorow, Claudia Leacock, and George A. Miller, A Topical/Local Classifier for Word Sense Identification, Computers and the Humanities 34: 115-120, 2000.
• Walter Daelemans et al., TiMBL: Tilburg Memory Based Learner V2.0 Reference Guide, ILK Technical Report- ILK 99-01.
• Hoa Trang Dang, Martha Palmer, Combining Contextual Features for Word Sense Disambiguation, in Proceedings of the SIGLEX/SENSEVAL Workshop on WSD, Philadelphia, July 2002, P88-94. Presentation
• A. P. Dempster, N.M. Laird, and D. B. Rubin, Maximum Likelihood from Incomplete Data via the EM Algorithm,J Royal Statist Soc Series B39:1-38, 1977. Presentation
• Mona Diab, Philip Resnik, An Unsupervised Method for Word Sense Tagging using Parallel Corpora, in Proceedings of 40th Annual Meeting of ACL, Pennsylvannia, USA, July 2002. Presentation
• Christiane Fellbaum, Martha Palmer, et al., Manual and Automatic Semantic Annotation with WordNet, in Proceedings of NAACL 2001 Workshop. Presentation
• Michel Galley, Kathleen McKeown, Improving Word Sense Disambiguation in Lexical Chaining, International Joint Conferences on Artificial Intelligence,IJCAI-03 Poster, 2003. Presentation
• Peter Wiemer-Hastings, Arthur Graesser, and Katja, Wiemer-Hastings, Inferring the meaning of verbs from context, in Proceedings of the Twentieth Annual Conference of the Cognitive Science Society (CogSci-98), Wisconsin, Madison, 1998. Presentation
• Adam Kilgarriff, SENSEVAL: An Exercise in Evaluating Word Sense Disambiguation Programs, in Proceedings of LREC, Granada, May 1998, P81-588. Presentation, WordNet
• Oi Yee Kwong, Aligning WordNet with Additional Lexical Resources, in Proceedings of the COLING/ACL Workshop on Usage of WordNet in Natural Language Processing Systems. Montreal, Canada, August, 1998.
• Oi Yee Kwong, Word Sense Selection in Texts:An Integrated Model, Dotoctral Dissertation, University of Cambridge, 2000.
• Oi Yee Kwong, Word Sense Disambiguation with an Integrated Lexical Resources, in Proceedings of the NAACL WordNet and Other Lexical Resources Workshop, 2001. Presentation
• Rada Mihalcea, Dan I. Moldovan, An Automatic Method for Generating Sense Tagged Corpora, in Proceedings of AAAI '99, Orlando, FL, July 1999, P461-466.
• Rada Mihalcea, Dan I. Moldovan, An Iterative Approach to Word Sense Disambiguation, in Proceedings of Flairs 2000,Orlando, FL, May 2000, P219-223. Presentation
• Vivi Nastase, Stan Szpakowicz, Word Sense Disambiguation in Roget's Thesaurus Using WordNet, in Proceedings of the NAACL WordNet and Other Lexical Resources Workshop, Pittsburgh, June 2001.
• Hwee Tou Ng, Chung Yong Lim, and Shou King Foo. A Case Study on Inter-Annotator Agreement for Word Sense Disambiguation, in Proceedings of the ACL SIGLEX Workshop: Standardizing Lexical Resources, 1999. Presentation
• Tom O'Hara, Janyce Wiebe, and Rebecca Bruce, Selecting Decomposable Models for Word Sense disambiguation: The Grling-Sdm System, Computers and the Humanities, Vol 34, 2000, P159-164. Presenation
• Mark Stevenson, Yorick Wilks, The Interaction of Knowledge Sources in Word Sense Disambiguation, Computational Linguistics, Volume 27, Issue 3, 2001, P321 - 349. Presentation
• Jean Veronis, Sense Tagging: Don't Look for the Meaning But for the Use, Workshop on Computational Lexicography and Multimedia Dictionaries (COMLEX'2000), 22-23 September 2000, Patras, Greece, 1-9. Presentation
• David Yarowsky, Word Sense Disambiguation Using Statistical Models of Roget's Categories Trained on Large Corpora, in Proceedings of COLING-92, Nantes, France, July 1992, P454-460.
• David Yarowsky, Decision Lists for Lexical Ambiguity Resolution: Application to Accent Restoration in Spanish and French, in Proceedings of the 32nd Annual Meeting of the Association for Computational Linguistics, Las Cruces, NM, 1994.
• David Yarowsky, Unsupervised Word Sense Disambiguation Rivaling Supervised Methods, in Meeting of the Association for Computational Linguistics, 1995, P189-196. Presentation

• Philipp Cimiano, Siegfried Handschuh, and Steffen Staab, Towards the Self-Annotating Web, in Proceedings of WWW-2004, May 17-22, 2004,New York, New York, USA. Presentation
• Bertrand Sereno et al, Semantic Annotation Support in the Absence of Consensus,in Proceedings of the 1st European Semantic Web Symposium (ESWS2004), Heraklion, Crete, Greece10-12 May 2004. Presentation
• Jeonghee Yi et al, Sentiment Analyzer: Extracting Sentiments About a Given Topic using Natural Language Processing Techniques, in Proceedings of the 3rd International Conference on Data Mining, 2003.