Publications

[1] S. Patwardhan and E. Riloff. A Unified Model of Phrasal and Sentential Evidence for Information Extraction. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, pages 151-160, Singapore, August 2009.
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[2] Y. Park, S. Patwardhan, K. Visweswariah, and S. Gates. An Empirical Analysis of Word Error Rate and Keyword Error Rate. In Proceedings of the International Conference on Spoken Language Processing, pages 2070-2073, Brisbane, Australia, September 2008.
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[3] S. Patwardhan. Combining Global Relevance Information with Local Contextual Clues for Event-Oriented Information Extraction. In Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (AAAI/SIGART Doctoral Consortium), pages 1863-1864, Chicago, IL, July 2008.
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[4] S. Patwardhan and E. Riloff. Effective Information Extraction with Semantic Affinity Patterns and Relevant Regions. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pages 717-727, Prague, Czech Republic, June 2007.
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[5] S. Patwardhan, S. Banerjee, and T. Pedersen. UMND1: Unsupervised Word Sense Disambiguation Using Contextual Semantic Relatedness. In SemEval-2007: Proceedings of the 4th International Workshop on Semantic Evaluations, pages 390-393, Prague, Czech Republic, June 2007.
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[6] T. Pedersen, S. Pakhomov, S. Patwardhan, and C. Chute. Measures of Semantic Similarity and Relatedness in the Biomedical Domain. Journal of Biomedical Informatics, 40(3):288-299, June 2007.
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[7] S. Patwardhan and E. Riloff. Learning Domain-Specific Information Extraction Patterns from the Web. In Proceedings of the ACL 2006 Workshop on Information Extraction Beyond the Document, pages 66-73, Sydney, Australia, July 2006.
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[8] E. Riloff, S. Patwardhan, and J. Wiebe. Feature Subsumption for Opinion Analysis. In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, pages 440-448, Sydney, Australia, July 2006.
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[9] S. Patwardhan and T. Pedersen. Using WordNet-based Context Vectors to Estimate the Semantic Relatedness of Concepts. In Proceedings of the EACL 2006 Workshop on Making Sense of Sense: Bringing Computational Linguistics and Psycholinguistics Together, pages 1-8, Trento, Italy, April 2006.
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[10] Y. Choi, C. Cardie, E. Riloff, and S. Patwardhan. Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns. In Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pages 355-362, Vancouver, Canada, October 2005.
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[11] T. Wilson, P. Hoffmann, S. Somasundaran, J. Kessler, J. Wiebe, Y. Choi, C. Cardie, E. Riloff, and S. Patwardhan. OpinionFinder: A System for Subjectivity Analysis. In Proceedings of HLT/EMNLP 2005 Interactive Demonstrations, pages 34-35, Vancouver, Canada, October 2005.
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[12] S. Patwardhan, T. Pedersen, and S. Banerjee. SenseRelate::TargetWord - A Generalized Framework for Word Sense Disambiguation. In Proceedings of the Twentieth National Conference on Artificial Intelligence (Intelligent Systems Demonstrations), pages 1692-1693, Pittsburgh, PA, July 2005.
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[13] S. Patwardhan, T. Pedersen, and S. Banerjee. SenseRelate::TargetWord - A Generalized Framework for Word Sense Disambiguation. In Proceedings of the ACL Interactive Poster and Demonstration Sessions, pages 73-76, Ann Arbor, MI, June 2005.
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[14] T. Pedersen, S. Pakhomov, and S. Patwardhan. Measures of Semantic Similarity and Relatedness in the Medical Domain. Research Report DTC 2005/12, University of Minnesota Digital Technology Center, May 2005.
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[15] T. Pedersen, S. Banerjee, and S. Patwardhan. Maximizing Semantic Relatedness to Perform Word Sense Disambiguation. Research Report UMSI 2005/25, University of Minnesota Supercomputing Institute, March 2005.
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[16] C. Thompson, S. Patwardhan, and C. Arnold. Generative Models for Semantic Role Labeling. In Proceedings of SENSEVAL-3: Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, pages 235-238, Barcelona, Spain, July 2004.
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[17] T. Pedersen, S. Patwardhan, and J. Michelizzi. WordNet::Similarity - Measuring the Relatedness of Concepts. In Proceedings of the Nineteenth National Conference on Artificial Intelligence (Intelligent Systems Demonstrations), pages 1024-1025, San Jose, CA, July 2004.
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[18] T. Pedersen, S. Patwardhan, and J. Michelizzi. WordNet::Similarity - Measuring the Relatedness of Concepts. In Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics Demonstrations, pages 38-41, Boston, MA, May 2004.
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[19] S. Patwardhan. Incorporating Dictionary and Corpus Information into a Context Vector Measure of Semantic Relatedness. Master's thesis, University of Minnesota, Duluth, August 2003.
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[20] S. Patwardhan, S. Banerjee, and T. Pedersen. Using Measures of Semantic Relatedness for Word Sense Disambiguation. In Proceedings of the Fourth International Conference on Intelligent Text Processing and Computational Linguistics, pages 241-257, Mexico City, Mexico, February 2003.
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[21] T. Kwon, N. Dhruv, S. Patwardhan, and E. Kwon. Common Data Format Archiving of Large-Scale Intelligent Transportation Systems Data for Efficient Storage, Retrieval, and Portability. Journal of the Transportation Research Board: Transportation Research Record, 1836:111-117, 2003.
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[22] N. Dhruv, T. Kwon, and S. Patwardhan. CDF Archival of Large-Scaled ITS Data for Efficient Archival, Retrieval, and Portability. In Proceedings of the Transportation Research Board 82nd Annual Meeting, Washington, DC, January 2003.
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