2013

• Wen-tau Yih, Ming-Wei Chang, Christopher Meek, and Andrzej Pastusiak, Question Answering Using Enhanced Lexical Semantic Models, in Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, August 2013
• Alisa Zhila, Wen-tau Yih, Chris Meek, Geoffrey Zweig, and Tomas Mikolov, Combining Heterogeneous Models for Measuring Relational Similarity, in Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT-2013), Association for Computational Linguistics, 27 May 2013
• Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig, Linguistic Regularities in Continuous SpaceWord Representations, in Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT-2013), Association for Computational Linguistics, 27 May 2013

2012

• Wen-tau Yih, Geoffrey Zweig, and John Platt, Polarity Inducing Latent Semantic Analysis, in Proceedings of Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), Association for Computational Linguistics, 12 July 2012
• Wen-tau Yih and Vahed Qazvinian, Measuring Word Relatedness Using Heterogeneous Vector Space Models, in Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT-2012), Association for Computational Linguistics, 2 June 2012
• Chris Quirk, Pallavi Choudhury, Jianfeng Gao, Hisami Suzuki, Kristina Toutanova, Michael Gamon, Wen-tau Yih, Lucy Vanderwende, and Colin Cherry, MSR SPLAT, a language analysis toolkit, in NAACL-HLT 2012, 2012

2011

• Jianfeng Gao, Kristina Toutanova, and Wen-tau Yih, Clickthrough-Based Latent Semantic Models for Web Search, in Proceedings of the Thirty-Fourth Annual International ACM SIGIR Conference, ACM, 24 July 2011
• Rajhans Samdani and Wen-tau Yih, Domain Adaptation with Ensemble of Feature Groups, in Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, 21 July 2011
• Wen-tau Yih, Kristina Toutanova, John Platt, and Chris Meek, Learning Discriminative Projections for Text Similarity Measures, in Proceedings of the Fifteenth Conference on Computational Natural Language Learning , Association for Computational Linguistics, 13 June 2011

2010

• Wen-tau Yih and Ning Jiang, Similarity Models for Ad Relevance Measures, in NIPS Workshop: Machine Learning in Online Advertising (MLOAD 2010), 10 December 2010
• Wen-tau Yih and Chris Meek, Learning Vector Representations for Similarity Measures, no. MSR-TR-2010-139, 25 October 2010
• John Platt, Kristina Toutanova, and Wen-tau Yih, Translingual Document Representations from Discriminative Projections, in Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Association for Computational Linguistics, 9 October 2010
• Hannaneh Hajishirzi, Wen-tau Yih, and Aleksander Kolcz, Adaptive Near-Duplicate Detection via Similarity Learning, in SIGIR, Association for Computing Machinery, Inc., July 2010

2009

• Wen-tau Yih, Learning Term-weighting Functions for Similarity Measures, in Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 7 August 2009
• Stanley Kok and Wen-tau Yih, Extracting Product Information from Email Receipts Using Markov Logic, in Sixth Conference on Email and Anti-Spam, CEAS, 17 July 2009

2008

• Ming-Wei Chang, Wen-tau Yih, and Christopher Meek, Partitioned Logistic Regression for Spam Filtering , in Proceedings of The 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 26 August 2008
• Wen-tau Yih and Christopher Meek, Consistent Phrase Relevance Measures , in Proceedings of The 2nd Annual International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD-08 Workshop), 24 August 2008
• Ming-Wei Chang, Wen-tau Yih, and Robert McCann, Personalized Spam Filtering for Gray Mail , in Proceedings of The 5th Conference on Email and Anti-Spam, 21 August 2008
• Vasin Punyakanok, Dan Roth, and Wen-tau Yih, The Importance of Syntactic Parsing and Inference in Semantic Role Labeling, in Computational Linguistics, vol. 34, no. 2, pp. 257-287, Association for Computational Linguistics, June 2008

2007

• Dan Roth and Wen-tau Yih, Global Inference for Entity and Relation Identification via a Linear Programming Formulation, in Introduction to Statistical Relational Learning, MIT Press, 30 November 2007
• A. Kolcz and W. Yih, Site-Independent Template-Block Detection, in Knowledge Discovery in Databases: PKDD 2007, Springer Verlag, 20 September 2007
• A. Kolcz and W. Yih, Raising the Baseline for High-Precision Text Classifiers, in Proceedings of KDD 2007, Association for Computing Machinery, Inc., 13 August 2007
• W. Yih, R. McCann, and A. Kolcz, Improving Spam Filtering by Detecting Gray Mail, in Proceedings of the 4th Conference on Email and Anti-Spam, CEAS, 2 August 2007
• Wen-tau Yih and Christopher Meek, Improving Similarity Measures for Short Segments of Text, in Proceedings of AAAI 2007, American Association for Artificial Intelligence , 25 July 2007
• Wen-tau Yih and Kristina Toutanova, Automatic Semantic Role Labeling (Tutorial Handout for AAAI-07), 22 July 2007
• W. Yih, J. Goodman, L. Vanderwende, and H. Suzuki, Multi-Document Summarization by Maximizing Informative Content-Words, in Proceedings of IJCAI 2007, 12 January 2007

2006

• J. Goodman and W. Yih, Online Discriminative Spam Filter Training, in Proceedings of the 3rd Conference on Email and Anti-Spam, CEAS, 28 July 2006
• W. Yih, J. Goodman, and G. Hulten, Learning at Low False Positive Rates, in Proceedings of the 3rd Conference on Email and Anti-Spam, CEAS, 28 July 2006
• Robert C. Moore, Wen-tau Yih, and Andreas Bode, Improved Discriminative Bilingual Word Alignment, in Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, 18 July 2006
• Wen-tau Yih and Kristina Toutanova, Automatic Semantic Role Labeling (Tutorial Handout for HLT-NAACL-06), 4 June 2006
• W. Yih, J. Goodman, and V. Carvalho, Finding Advertising Keywords on Web Pages, in Proceedings of the 15th World Wide Web Conference, Association for Computing Machinery, Inc., 24 May 2006

2005

• D. Roth and W. Yih, Integer Linear Programming Inference for Conditional Random Fields, in Proceedings of the 22nd International Conference on Machine Learning (ICML-2005), Association for Computing Machinery, Inc., 9 August 2005
• V. Punyakanok, D. Roth, W. Yih, and D. Zimak, Learning and Inference over Constrained Output, in Proceedings of IJCAI 2005, 3 August 2005
• V. Punyakanok, D. Roth, and W. Yih, The Necessity of Syntactic Parsing for Semantic Role Labeling, in Proceedings of IJCAI 2005, 3 August 2005
• P. Koomen, V. Punyakanok, D. Roth, and W. Yih, Generalized Inference with Multiple Semantic Role Labeling Systems, in Proc. of the Annual Conference on Computational Natural Language Learning (CoNLL), Association for Computational Linguistics, 30 June 2005

2004

• V. Punyakanok, D. Roth, W. Yih, and D. Zimak, Learning via Inference over Structurally Constrained Output, in NIPS-04 Learning With Structured Outputs Workshop , MIT Press, 17 December 2004
• Wen-tau Yih, Po-hao Chang, and Wooyoung Kim, Mining Online Deal Forums for Hot Deals, in Proceedings of The 2004 IEEE/WIC/ACM International Conference on Web Intelligence 2004, IEEE Communications Society, 20 September 2004
• V. Punyakanok, D. Roth, W. Yih, and D. Zimak, Semantic Role Labeling via Integer Linear Programming Inference, in Proceedings of the 20th International Conference on Computational Linguistics (COLING-04), International Conference on Computational Linguistics, 23 August 2004
• V. Punyakanok, D. Roth, W. Yih, D. Zimak, and Y. Tu, Semantic Role Labeling via Generalized Inference over Classifiers, in Proceedings of the 8th Conference on Computational Natural Language Learning (CoNLL-04), Association for Computational Linguistics, 7 May 2004
• D. Roth and W. Yih, A Linear Programming Formulation for Global Inference in Natural Language Tasks, in Proceedings of the 8th Conference on Computational Natural Language Learning (CoNLL-04), Association for Computational Linguistics, 6 May 2004
• V. Punyakanok, D. Roth, and W. Yih, Mapping Dependencies Trees: An Application to Question Answering, in Proceedings of AI&Math 2004 (Special session: Intelligent Text Processing), 6 January 2004

2002

• D. Roth, C. Cumby, Xiao Li, P. Morie, R. Nagarajan, N. Rizzolo, K. Small, and W. Yih, Question-Answering via Enhanced Understanding of Questions, in Proceedings of TREC 2002, National Institute of Standards and Technology , November 2002
• D. Roth and W. Yih, Probabilistic Reasoning for Entity & Relation Recognition, in Proceedings of the 19th International Conference on Computational Linguistics (COLING-02), International Conference on Computational Linguistics, August 2002

2001

• D. Roth, G. Kao, Xiao Li, R. Nagarajan, V. Punyakanok, N. Rizzolo, W. Yih, C. Alm, and L. Moran, Learning Components for A Question-Answering System, in Proceedings of TREC 2001, National Institute of Standards and Technology , November 2001
• D. Roth and W. Yih, Relational Learning via Propositional Algorithms: An Information Extraction Case Study, in Proceedings of IJCAI-2001, 2001

1997

• J. Hsu and W. Yih, Template-Based Information Mining from HTML Documents, in Proceedings of AAAI-1997, American Association for Artificial Intelligence , July 1997