Siddharth Patwardhan
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Curriculum Vitae:







Latest News

  1. [Feb 2017] Watson Anniversary: Six years ago, our little research team unleashed Watson on national TV... see how we did this: Smartest Machine on Earth.
  2. [Sep 2016] Move to the Bay Area: I am relocating to California, to join a leading technology company in the Silicon Valley.
  3. [Aug 2016] Textual Entailment at ACL 2016: Catch the presentation of our paper on textual entailment (across domains) at ACL 2016 in Berlin, Germany.
  4. [Jul 2016] Visiting Professor at ECI 2016, Argentina: I am teaching a week-long course on IBM Watson at the ECI 2016 Winter School, organized by the University of Buenos Aires in Argentina.
  5. [Jun 2016] Word Embeddings at NAACL 2016: See the presentation of our paper on context types and dimensionality for word embeddings at NAACL 2016 in San Diego, California.
  6. [Mar 2016] Podium Abstract at CRI 2016: We are discussing question answering on electronic medical records at the CRI 2016 AMIA Summit in San Francisco, California.

Professional Experience

Education

PhD, Computer Science
University of Utah, Salt Lake City UT
May 2010
MS, Computer Science
University of Minnesota, Duluth MN
Aug 2003
BE, Computer Engineering
University of Pune, India
May 2001




Employment History

NLP and Machine Learning Engineer
Apple, Cupertino CA
Sep 2016 - present
Research Staff Member
IBM Watson, Yorktown Heights NY
Oct 2014 - Aug 2016
Senior Software Engineer
IBM Research, Yorktown Heights NY
Feb 2012 - Oct 2014
Postdoctoral Researcher
IBM Research, Yorktown Heights NY
Oct 2009 - Feb 2012
Research Assistant
School of Computing, University of Utah, Salt Lake City UT
Aug 2003 - Oct 2009
Summer Research Intern
IBM Research, Yorktown Heights NY
May 2007 - Aug 2007
Summer Research Intern
Division Biomedical Informatics, Mayo Clinic, Rochester MN
May 2003 - Aug 2003
Teaching Assistant
Department of Computer Science, University of Minnesota, Duluth MN
Aug 2001 - May 2003

Patents

D. Ferrucci, D. Gondek, A. Kalyanpur, A. Lally, and S. Patwardhan. Fact Checking Using and Aiding Probabilistic Question Answering. U. S. Patent 8,959,043 B2. February 2015.
B. Boguraev, E. Khorasani, V. Sheinin, S. Patwardhan and P. Zerfos. Natural Language Interface to Databases. U. S. Patent Application 14/858,841, filed September 2015. Patent Pending.
B. Boguraev, E. Khorasani, V. Sheinin, S. Patwardhan and P. Zerfos. Robust and Readily Domain-Adaptable Natural Language Interface to Databases. U. S. Patent Application 14/858,912, filed September 2015. Patent Pending.
S. Berajawala, A. Levas, S. Patwardhan, and D. Taieb. Collaborative Creation of Annotated Training Data. U. S. Patent Application 14/553,028, filed November 2014. Patent Pending.
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. U. S. Patent Application 13/610,267, filed September 2012. Patent Pending.




Publications

C. Shivade, P. Raghavan, and S. Patwardhan. Addressing Limited Data for Textual Entailment across Domains. In 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. In 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. In Podium Abstract Presentations at AMIA 2016 Summit on Clinical Research Informatics, San Francisco, CA, March 2016.
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. In Proceedings of the Sixth International Joint Conference on Natural Language Processing, pages 1330-1338, Nagoya, Japan, October 2013. [acceptance rate 23%]
A. Gliozzo, O. Biran, S. Patwardhan, and K. McKeown. Semantic Technologies in IBM Watson. In Proceedings of the Fourth Workshop on Teaching NLP and CL, pages 85-92, 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. In 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. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 185-193, 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. In 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! In 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. In 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. In Proceedings of the Fifth International Conference on Knowledge Capture, pages 161-168, Redondo Beach, CA, September 2009. [acceptance rate 26%]
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. [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. 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. [acceptance rate 60%]
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 (Doctoral Consortium), pages 1863-1864, Chicago, IL, July 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. 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. [acceptance rate 27%]
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.
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. [acceptance rate 31%]
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.
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.
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. [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. In Proceedings of HLT/EMNLP 2005 Interactive Demonstrations, pages 34-35, Vancouver, Canada, October 2005.
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.
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.
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.
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.
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.
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.
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.
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, pages 111-117, 2003.
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. [acceptance rate 46%]
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.
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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