Publications

C. Shivade, P. Raghavan, and S. Patwardhan. Addressing Limited Data for Textual Entailment across Domains. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Berlin, Germany, August 2016. [acceptance rate 28%]

O. Melamud, D. McClosky, S. Patwardhan, and M. Bansal. The Role of Context Types and Dimensionality in Learning Word Embeddings. Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technology, San Diego, CA, June 2016. [acceptance rate 25%]

P. Raghavan and S. Patwardhan. Question Answering on Electronic Medical Records. Podium Abstract Presentations at AMIA 2016 Summit on Clinical Research Informatics, San Francisco, CA, March 2016.

P. Raghavan, S. Patwardhan, J. J. Liang, and M. V. Devarakonda. Annotating Electronic Medical Records for Question Answering. Preprint arXiv: 1805.06816, May 2018.

B. Boguraev, S. Patwardhan, A. Kalyanpur, J. Chu-Carroll, and A. Lally. Parallel and Nested Decomposition for Factoid Questions. Natural Language Engineering, 20(04):441-468, October 2014.

A. Lally, S. Bagchi, M. Barborak, D. Buchanan, J. Chu-Carroll, D. Ferrucci, M. Glass, A. Kalyanpur, E. Mueller, J. W. Murdock, S. Patwardhan, J. Prager and C. Welty. WatsonPaths: Scenario-based Question Answering and Inference over Unstructured Information. Research Report RC25489 (WAT1409-048), IBM T. J. Watson Research Center, September 2014.

A. Moschitti, S. Patwardhan, and C. Welty. Long-Distance Time-Event Relation Extraction. Proceedings of the Sixth International Joint Conference on Natural Language Processing, Nagoya, Japan, October 2013. [acceptance rate 23%]

A. Gliozzo, O. Biran, S. Patwardhan, and K. McKeown. Semantic Technologies in IBM Watson. Proceedings of the Fourth Workshop on Teaching NLP and CL, Sofia, Bulgaria, August 2013.

A. Kalyanpur, S. Patwardhan, B. Boguraev, A. Lally, and J. Chu-Carroll. Fact-based Question Decomposition in DeepQA. IBM Journal of Research and Development, 56(3/4):13:1-13:11, May/July 2012.

A. Kalyanpur, B. Boguraev, S. Patwardhan, J. W. Murdock, A. Lally, C. Welty, J. Prager, B. Coppola, A. Fokoue-Nkoutche, L. Zhang, Y. Pan, and Z. Qiu. Structured Data and Inference in DeepQA. IBM Journal of Research and Development, 56(3/4):10:1-10:14, May/July 2012.

A. Lally, J. Prager, M. McCord, B. Boguraev, S. Patwardhan, J. Fan, P. Fodor, and J. Chu-Carroll. Question Analysis: How Watson Reads a Clue. IBM Journal of Research and Development, 56(3/4):2:1-2:14, May/July 2012.

S. Patwardhan, B. Boguraev, A. Agarwal, A. Moschitti, and J. Chu-Carroll. Labeling by Landscaping: Classifying Tokens in Context by Pruning and Decorating Trees. CIKM '12: Proceedings of the 21st ACM International Conference on Information and Knowledge Management, Maui, HI, October 2012. [acceptance rate 13%]

D. Hovy, J. Fan, A. Gliozzo, S. Patwardhan, and C. Welty. When Did that Happen? - Linking Events and Relations to Timestamps. Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, Avignon, France, April 2012. [acceptance rate 27%]

A. Kalyanpur, S. Patwardhan, B. Boguraev, A. Lally, and J. Chu-Carroll. Fact-based Question Decomposition for Candidate Answer Re-ranking. Proceedings of the 20th ACM Conference on Information and Knowledge Management, Glasgow, UK, October 2011. [acceptance rate 35%]

A. Moschitti, J. Chu-Carroll, S. Patwardhan, J. Fan, and G. Riccardi. Using Syntactic and Semantic Structural Kernels for Classifying Definition Questions in Jeopardy!. Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, Edinburgh, UK, July 2011. [acceptance rate 23%]

R. Kate, X. Luo, S. Patwardhan, M. Franz, R. Florian, R. Mooney, S. Roukos, and C. Welty. Learning to Predict Readability using Diverse Linguistic Features. Proceedings of the 23rd International Conference on Computational Linguistics, Beijing, China, August 2010. [acceptance rate 22%]

R. Bhagat, E. Hovy, and S. Patwardhan. Acquiring Paraphrases from Text Corpora. Proceedings of the Fifth International Conference on Knowledge Capture, Redondo Beach, CA, September 2009. [acceptance rate 26%]

S. Patwardhan and E. Riloff. A Unified Model of Phrasal and Sentential Evidence for Information Extraction. Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, Singapore, August 2009. [acceptance rate 34%]

S. Patwardhan. Widening the Field of View of Information Extraction through Sentential Event Recognition. PhD thesis, University of Utah, September 2009.

Y. Park, S. Patwardhan, K. V. Ramanan, and S. C. Gates. An Empirical Analysis of Word Error Rate and Keyword Error Rate. Proceedings of Interspeech 2008, Brisbane, Australia, September 2008.

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.

S. Patwardhan and E. Riloff. Effective Information Extraction with Semantic Affinity Patterns and Relevant Regions. Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Prague, Czech Republic, June 2007. [acceptance rate 27%]

S. Patwardhan, S. Banerjee, and T. Pedersen. UMND1: Unsupervised Word Sense Disambiguation Using Contextual Semantic Relatedness. Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007), Prague, Czech Republic, June 2007.

S. Patwardhan and E. Riloff. Learning Domain-Specific Information Extraction Patterns from the Web. Proceedings of the Workshop on Information Extraction Beyond the Document, ACL 2006, Sydney, Australia, July 2006.

S. Patwardhan and T. Pedersen. Using WordNet-based Context Vectors to Estimate the Semantic Relatedness of Concepts. Proceedings of the EACL 2006 Workshop on Making Sense of Sense, Trento, Italy, April 2006.

Y. Choi, C. Cardie, E. Riloff, and S. Patwardhan. Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns. Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Vancouver, Canada, October 2005. [acceptance rate 32%]

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. Proceedings of HLT/EMNLP 2005 Interactive Demonstrations, Vancouver, Canada, October 2005.

S. Patwardhan, S. Banerjee, and T. Pedersen. SenseRelate::TargetWord — A Generalized Framework for Word Sense Disambiguation. Proceedings of the ACL Interactive Poster and Demonstration Sessions, Ann Arbor, MI, June 2005.

C. A. Thompson, S. Patwardhan, and C. Arnold. Generative Models for Semantic Role Labeling. Proceedings of SENSEVAL-3, the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, Barcelona, Spain, July 2004.

T. Pedersen, S. Patwardhan, and J. Michelizzi. WordNet::Similarity — Measuring the Relatedness of Concepts. Demonstration Papers at HLT-NAACL 2004, Boston, MA, May 2004.

S. Patwardhan, S. Banerjee, and T. Pedersen. Using Measures of Semantic Relatedness for Word Sense Disambiguation. Proceedings of the Fourth International Conference on Intelligent Text Processing and Computational Linguistics, Mexico City, Mexico, February 2003. [acceptance rate 46%]

S. Patwardhan. Incorporating Dictionary and Corpus Information into a Context Vector Measure of Semantic Relatedness. Master's thesis, University of Minnesota, Duluth, August 2003.

Patents

B. Boguraev, J. Chu-Carroll, A. Kalyanpur, D. McClosky, J. W. Murdock and S. Patwardhan. Entailment Knowledge Base in Natural Language Processing Systems. US Patent 11,520,813 B2 and US Patent 11,720,611 B2, Aug 2023.

Y. Park and S. Patwardhan. Adaptable Processing Components. US Patent 11,144,718 B2, October 2021.

H. Badenes, R. Mannan and S. Patwardhan. Tone Analysis of Legal Documents. US Patent 10,452,780, and US Patent 10,929,615, February 2021.

S. Bagchi, K. Barker, B. Boguraev, M. Bornea, A. Faulkner, Y. Li, S. Patwardhan, and S. Rosenthal. Processing Context-based Inquiries for Knowledge Retrieval. US Patent 10,769,138, September 2020.

M. Devarakonda, S. Patwardhan and P. Raghavan. Self-Training of Question Answering System using Question Profiles. US Patent 10,699,215, June 2020.

B. Boguraev, D. Buchanan, J. Chu-Carroll, D. Ferrucci, A. Kalyanpur, J. W. Murdock, and S. Patwardhan. Generating Secondary Questions in an Introspective Question Answering System. US Patent 10,621,880, US Patent 10,614,725, April 2020.

H. Badenes, R. Mannan and S. Patwardhan. Annotation of Legal Documents with Case Citations. US Patent 10,373,278, August 2019.

M. Devarakonda, S. Patwardhan and P. Raghavan. Automated Timeline Completion Using Event Progression Knowledge Base. US Patent 10,372,822, August 2019.

B. Boguraev, E. Khorasani, V. Sheinin, S. Patwardhan and P. Zerfos. Robust and Readily Domain-Adaptable Natural Language Interface to Databases. US Patent 10,042,921 B2, August 2018.

B. Boguraev, E. Khorasani, V. Sheinin, S. Patwardhan and P. Zerfos. Natural Language Interface to Databases. US Patent 9,959,311 B2, May 2018.

B. Boguraev, E. Khorasani, V. Sheinin, S. Patwardhan and P. Zerfos. Natural Language Interface to Databases. WO Patent WO/2017/046729, March 2017.

S. Berajawala, A. Levas, S. Patwardhan, and D. Taieb. Collaborative Creation of Annotated Training Data. US Patent 9,860,308 B2, January 2018.

D. Ferrucci, D. Gondek, A. Kalyanpur, A. Lally, and S. Patwardhan. Fact Checking Using and Aiding Probabilistic Question Answering. US Patent 8,972,321 B2 and US Patent 8,959,043 B2, February 2015.

Y. Park and S. Patwardhan. Adaptable Processing Components. WO Patent Application WO/2018/158626, filed December 2017. Patent Pending

M. Devarakonda, J. Liang, S. Patwardhan and P. Raghavan. Identification of Related Electronic Medical Record Documents in a Question and Answer System. US Patent Application 15/336,261, filed October 2016. Patent Pending