Publications
(Book Chapter) Ovchinnikova E., Montazeri N., Alexandrov T., Hobbs J.R., McCord M.C., Mulkar-Mehta R. (2014) Abductive Reasoning with a Large Knowledge Base for Discourse Processing. In: Bunt H., Bos J., Pulman S. (eds) Computing Meaning. Text, Speech and Language Technology, vol 47. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7284-7_7
(Book Chapter) Hobbs, J. R., & Mulkar-Mehta, R. (2013). Toward a Formal Theory of Information Structure. In Evolution of Semantic Systems (pp. 101-126). Springer, Berlin, Heidelberg.
(Book) Mulkar-Mehta, R., Granular Causality: Discovering Causality in Natural Language, LAP LAMBERT Academic Publishing (2012), (ISBN 10:3847324470, ISBN 13:978-3847324478) Available from Amazon.com
(Conference Paper) Silgard, E., Tharp, M., & Mulkar-Mehta, R. (2012). Temporal Relation Extraction from Medical Discharge Summaries. 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology, 132-132, (HISB 2012), UCSD, La Jolla, CA
Mulkar-Mehta, R., Welty, C., Hobbs, J. R., Hovy, E. H., Using Part-of Relations to Discover Causality, Machine Reading Phase 3 Kickoff meeting, 2011, Seattle, WA
Mulkar-Mehta, R., Welty, C., Hobbs, J. R., Hovy, E. H., Granularity in Natural Language Discourse, Reasoning with Text, 2011 Workshop, at ICT, Los Angeles, CA
(Ph.D. Thesis) Mulkar-Mehta, R. (2011). Granular causality for learning by reading. University of Southern California.
(Journal Paper) Pan, F., Mulkar-Mehta, R., & Hobbs, J. (2011). Annotating and Learning Event Durations in Text. Computational Linguistics, 37, 727-752.
(Conference Paper) Ovchinnikova, E., Montazeri, N., Alexandrov, T., Hobbs, J., McCord, M., & Mulkar-Mehta, R. (2011). Abductive Reasoning with a Large Knowledge Base for Discourse Processing. In Proceedings of the Ninth International Conference on Computational Semantics (IWCS 2011)
(Conference Paper) Mulkar-Mehta, R., Gordon, A., Hobbs, J. R., & Hovy, E. Causal markers across domains and genres of discourse. In Proceedings of the sixth international conference on Knowledge capture, pp. 183-184. 2011. [poster]
(Conference Paper) Mulkar-Mehta, R., Hobbs, J. R., & Hovy, E. (2011). Granularity in natural language discourse. In Proceedings of the Ninth International Conference on Computational Semantics (IWCS 2011).
(Conference Paper) Mulkar-Mehta, R., Hobbs, J. R., & Hovy, E. H. (2011, March). Applications of Discovery of Granularity Structures in Natural Language Discourse. In AAAI Spring Symposium: logical formalizations of commonsense reasoning.
(Conference Paper) Mulkar-Mehta, R., Welty, C., Hobbs, J., & Hovy, E. (2011, March). Using Part-Of Relations for Discovering Causality. In Twenty-Fourth International FLAIRS Conference. (Nominated for Best Student Paper Award [PPT]
Mulkar-Mehta, R., Jerry Hobbs, Causal Granularity: Answering "How" Events Happen, At the Abductive Inference ARO MURI 2010 Workshop
Mulkar-Mehta, R., Hobbs, J., Liu, C., & Zhou, X. (2009). Discovering Causal and Temporal Relations in Biomedical Texts. AAAI Spring Symposium: Learning by Reading and Learning to Read.
Hobbs, J. R., & Mulkar-Mehta, R.(2008). Using Abduction for Video-Text Coreference. In Proceedings of BOEMIE 2008 Workshop on Ontology Evolution and Multimedia Information Extraction.
Barker, K., Agashe, B., Chaw, S., Fan, J., Friedland, N., Glass, M.R., Hobbs, J., Hovy, E., Israel, D., Kim, D.S., Mulkar-Mehta, R., Patwardhan, S., Porter, B., Tecuci, D., & Yeh, P.Z. (2007). Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned. AAAI.
Mulkar-Mehta, R., Hobbs, J., & Hovy, E. (2007). Learning from Reading Syntactically Complex Biology Texts. AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning.
Pan, F., Mulkar-Mehta, R., & Hobbs, J. (2007). Modeling and Learning Vague Event Durations for Temporal Reasoning. In Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI), Nectar Track, pp. 1659-1662, Vancouver, Canada.
Mulkar, R., Hobbs, J., Hovy, E., Chalupsky, H., & Lin. C.Y. Learning by reading: Two experiments. In Proceedings of IJCAI 2007 workshop on Knowledge and Reasoning for Answering Questions, pp. 287-296. 2007.
Pan, F., Mulkar-Mehta, R., & Hobbs, J. R. (2006, July). Learning event durations from event descriptions. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (pp. 393-400). (Acceptance rate: 23%)
Pan, F., Mulkar, R., & Hobbs, J. R. (2006, May). An Annotated Corpus of Typical Durations of Events. In LREC (pp. 77-82).
Pan, F. Mulkar, R., Hobbs, J. R. 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
Chair and Organizer
- IJCAI-ECAI-18, Stockholm, Sweden, July 13-19, 2018
- Association for the Advancement of Artificial Intelligence AAAI 2017
- COLING 2014 Information Retrieval and Question Answering Track
- The 5th International Symposium on Semantic Mining in Biomedicine (SMBM), 2012
- International Workshop on Machine Reading for Social Media Content Analytics(IMRSMCA'12)
- Information Retrieval and Knowledge Discovery in Biomedical Text symposium, at the AAAI 2012 Fall Symposia series.
- International Journal on Semantic Web and Information Systems (IJSWIS), Special Edition on "Web Scale Knowledge Extraction", 2012, Ed. Aditya Kalyanpur, James Fan, Chris Welty
- Natural Language Processing in the Web Era, Volume 6.2, December 2012, Ed. Roberto Basili, Bernardo Magnini
- Journal on BMC Medical Informatics and Decision Making 2012
- Empirical Methods in Natural Language Processing (EMNLP-2011)
- Webscale Knowledge Extraction co-located with KCAP 2011
- Learning by Reading in the Real World (LERREW 2011) co-located with Conference of the Italian Association for Artificial Intelligence (AI*IA 2011)
- Learning by Reading and its Applications in Intelligent Question-Answering (FAM-LbR/KRAQ 2011), co-located with IJCAI 2011
- Conference on Intelligent Text Processing and Computational Linguistics CICLing 2011
- Association of Computational Linguistics (ACL 2011)
- Association for the Advancement of Artificial Intelligence (AAAI 2011)
- Student Summit @ Machine Reading Phase 3 Kickoff meeting 2011
- Artificial Intelligence Journal (AIJ 2010)
- Workshop on Formalisms and Methodology for Learning by Reading (FAM-LbR 2010), co-located with NAACL 2010
- Workshop on Learning by Reading and its Applications in Intelligent Question-Answering (FAM-LbR/KRAQ 2011), co-located with IJCAI 2011
- Workshop on Formalisms and Methodology for Learning by Reading (FAM-LbR 2010), co-located with NAACL 2010
Talks
- Redefine, Rebrand, Relaunch, ACT-W Advancing the Careers of Technical Women, May 2015, Seattle
- 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
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, Jerry Hobbs, Causal Markers across Domains and Genres of Discourse, In The Sixth International Conference on Knowledge Capture, 2011 [Poster]
- 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]
- Rutu Mulkar-Mehta, Jerry R. Hobbs, Eduard Hovy, Applications of Discovering Granularity in Natural Language Discourse, In Proceedings of The Tenth International Symposium on Logical Formalizations of Commonsense Reasoning at the AAAI Spring Symposium 2011, Palo Alto [Poster]
- Rutu Mulkar-Mehta, Jerry R. Hobbs, Eduard Hovy, Granularity in Natural Language Discourse, In Proceedings of International Conference on Computational Semantics, 2011 [Poster]
- 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%)
- Rutu Mulkar-Mehta, Jerry Hobbs, Chun-Chi Liu, Xianghong Jasmine Zhou, Discovering Causal and Temporal Relations in Biomedical Texts, In Proceedings of Learning by Reading and Learning to Read at the AAAI Spring Symposium 2009, Palo Alto [PPT]
- 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%)
- Feng Pan, Rutu Mulkar, Jerry R. Hobbs, Modeling and Learning Vague Event Durations for Temporal Reasoning, In Proceedings of the Twenty Second Conference on Artificial Intelligence (AAAI), Nectar Track, pp. 1659-1662, Vancouver, Canada (Acceptance rate: 17%).
- 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
Refereed Workshop Papers
- Jerry R. Hobbs, Rutu Mulkar-Mehta, Using Abduction for Video-Text Coreference, In Proceedings of BOEMIE 2008 Workshop on Ontology Evolution and Multimedia Information Extraction [PPT]
- 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]
Other Talks, Papers and Posters
- Noah Friedland, David Israel, Peter Clark, Eduard Hovy, Jerry Hobbs, Rutu Mulkar, Bruce Porter, Ken Barker, Ralph Weischedel, Paul Martin, Project Mobius: a study on the feasibility of Learning by Reading, Technical Report, 2008