A Tutorial for Using Python for Linguistic Data Analysis, pyData Seattle, July 2015
Using Python for Natural Language Processing, Meetup at Data Science Dojo, August 2015
Books
Rutu Mulkar-Mehta, Granular Causality: Discovering Causality in Natural Language, LAP LAMBERT Academic Publishing (2012), (ISBN 10:3847324470, ISBN 13:978-3847324478) Available from Amazon.com
Ph.D. Dissertation
Rutu Mulkar-Mehta, Granular Causality for Learning by Reading, University of Southern California
Ekaterina Ovchinnikova, Niloofar Montazeri, Theodore Alexandrov, Jerry R. Hobbs, Michael C. McCord, and Rutu Mulkar-Mehta, Abductive Reasoning with a Large Knowledge Base for Discourse Processing, Computing Meaning, Volume 4, edited by Harry Bunt, Johan Bos and Stephen Pulman, Springer 2012, (To Appear)
Rutu Mulkar-Mehta, Granular Causality Applications: Using Part-of Relations to Discover Causality, The International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), To Appear
Refereed Conference Papers
Emily Silgard, Melissa Tharp, Rutu Mulkar-Mehta, Temporal Relation Extraction from Medical Discharge Summaries, In the Second IEEE Conference on Healthcare Informatics, Imaging, and Systems Biology (HISB 2012), UCSD, La Jolla, CA
Rutu Mulkar-Mehta, Christopher Welty, Jerry R. Hobbs, Eduard Hovy, Using Part-Of Relations for Discovering Causality, In Proceedings of The 24th International Florida Artificial Intelligence Research Society Conference, 2011 (Nominated for Best Student Paper Award) [PPT]
Ekaterina Ovchinnikova, Niloofar Montazeri, Theodore Alexandrov, Jerry Hobbs, Michael C. McCord, Rutu Mulkar-Mehta, Abductive Reasoning with a Large Knowledge Base for Discourse Processing, In Proceedings of International Conference on Computational Semantics, 2011 (Acceptance Rate: 40%)
Ken Barker, Bhalchandra Agashe, Shaw Yi Chaw, James Fan, Noah S. Friedland, Michael Glass, Jerry R. Hobbs, Eduard H. Hovy, David J. Israel, Doo Soon Kim, Rutu Mulkar-Mehta, Sourabh Patwardhan, Bruce W. Porter, Dan Tecuci, Peter Z. Yeh, Learning by Reading: A Prototype System, Performance Baseline, and Lessons Learned, In Proceedings of Twenty-Second National Conference on Artificial Intelligence (AAAI), 2007 (Acceptance Rate: 27%)
Rutu Mulkar, Jerry R. Hobbs, Eduard Hovy, Learning from Reading Syntactically Complex Biology Texts, In Proceedings Proceedings of the 8th International Symposium on Logical Formalizations of Commonsense Reasoning at the AAAI Spring Symposium 2007, Palo Alto
Feng Pan, Rutu Mulkar, Jerry R. Hobbs, Learning Event Durations from Event Descriptions, In Proceedings of the 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL), pp. 393-400 Sydney, Australia (Acceptance rate: 23%)
Feng Pan, Rutu Mulkar, Jerry R. Hobbs, An Annotated Corpus of Typical Durations of Events, In Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC), pp. 77-82, Genoa, Italy
Rutu Mulkar, Jerry R. Hobbs, Eduard Hovy, Hans Chalupsky, Chin-Yew Lin, Learning by reading: Two experiments,In Proceedings of the 3rd International Workshop on Knowledge and Reasoning for Question Answering (KRAQ’07) colocated with IJCAI, Hyderabad, India, January 6, 2007. [PPT]
Feng Pan, Rutu Mulkar, Jerry R. Hobbs, Extending TimeML with Typical Durations of Events, In Proceedings of Annotating and Reasoning about Time and Events workshop at the 21st International Conference on Computational Linguistics and the 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL), 2006
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