Education

• Ph.D., Computer Science, The University of Texas at Austin, 2007
• M.S., Computer Science, The University of Texas at Austin, 2002
• B.Tech., Computer Science and Engineering, Indian Institute of Technology, New Delhi, 2000

Interests & Expertise

My research interests are in natural language processing, biomedical informatics and machine learning. I am interested in applying machine learning techniques to medical applications as well as in developing techniques that would enable computers to robustly understand and process natural languages, especially for biomedical applications. My research focus is on improving techniques for extracting computer-processable knowledge from natural language texts and on developing techniques for enabling natural language interaction with computers. I have worked on semantic parsing, various forms of supervisions for semantic parser learners, information extraction and kernel-based machine learning methods for natural language processing.

Homepage: http://www.uwm.edu/~katerj

Peer-reviewed Publications

Rohit J. Kate. Unsupervised Grammar Induction of Clinical Report Sublanguage. To appear in the special session on Machine Learning for Biomedical Literature Analysis and Text Retrieval at International Conference on Machine Learning and Applications (ICMLA 2011), Honolulu, Hawaii, December 2011.

James Blythe, Jerry R. Hobbs, Pedro Domingos, Rohit J. Kate, Raymond J. Mooney. Implementing Weighted Abduction in Markov Logic. In Proceedings of the International Conference on Computational Semantics, pp. 55-64, Oxford, England, January 2011.

Rohit J. Kate, Xiaoqiang Luo, Siddharth Patwardhan, Martin Franz, Radu Florian, Raymond J. Mooney, Salim Roukos and Chris Welty. Learning to Predict Readability using Diverse Linguistic Features. In proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010), pp. 546-554, Beijing, China, August 2010.

Rohit J. Kate and Raymond J. Mooney. Joint Entity and Relation Extraction using Card-Pyramid Parsing. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning (CoNLL-2010), pp. 203-212, Uppsala, Sweden, July 2010.

Rohit J. Kate and Raymond J. Mooney. Probabilistic Abduction using Markov Logic Networks. In Proceedings of IJCAI 2009 Workshop on Plan, Activity, and Intent Recognition (PAIR), 2009, pp. 22-28, Pasadena, CA, July 2009.

Rohit J. Kate. A Dependency-based Word Subsequence Kernel. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2008), pp. 400-409, Waikiki, Honolulu, Hawaii, October 2008.

Rohit J. Kate. Transforming Meaning Representation Grammars to Improve Semantic Parsing. In Proceedings of the Twelfth Conference on Computational Natural Language Learning (CoNLL 2008), pp. 33-40, Manchester, UK, August 2008.

Rohit J. Kate and Raymond J. Mooney. Learning Language Semantics form Ambiguous Supervision. In Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI 2007), pp. 895-900, Vancouver, Canada, July 2007.

Rohit J. Kate and Raymond J. Mooney. Semi-Supervised Learning for Semantic Parsing using Support Vector Machines. In Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (NAACL/HLT-2007), pp. 81-84 (short paper), Rochester, NY, April 2007.

Rohit J. Kate and Raymond J. Mooney. Using String-Kernels for Learning Semantic Parsers. In Proceedings of the Joint 21st International Conference on Computational Linguistics and 44th Annual Meeting of Association for Computational Linguistics (COLING/ACL 2006), pp. 913-920, Sydney, Australia, July 2006.

Rohit J. Kate, Yuk Wah Wong, Raymond J. Mooney. Learning to Transform Natural to Formal Languages. Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05), pp. 1062--1068, Pittsburgh, PA, July 2005.

Razvan Bunescu, Ruifang Ge, Rohit J. Kate, Edward M. Marcotte, Raymond J. Mooney, Arun Kumar Ramani, and Yuk Wah Wong. Comparative Experiments on Learning Information Extractors for Proteins and their Interactions. Artificial Intelligence in Medicine (Special issue on Summarization and Information Extraction from Medical Documents), 33, 2 (2005), pp. 139-155.

Razvan Bunescu, Ruifang Ge, Rohit J. Kate, Raymond J. Mooney, Yuk Wah Wong, Edward M. Marcotte and Arun Kumar Ramani. Learning to Extract Proteins and their Interactions from Medline Abstracts. Proceedings of the ICML-2003 Workshop on Machine Learning in Bioinformatics, pp.46-53, Washington DC, August 2003.

Rohit Jaivant Kate, Prem Kalra, Subhashis Banerjee. Towards an Automated Approach for View-Dependent Geometry. International Journal of Image and Graphics, Vol. 2, No. 3, pp. 413-423, July, 2002.

Faruquie T.A., Kapoor A., Kate R., Rajput N., Subramaniam L.V.. Audio Driven Facial Animation for Audio-Visual Reality. ICME 2001, Proceedings of IEEE International Conference on Multimedia and Expo 2001, Tokyo, Japan, 22nd-25th August, 2001.