Rutu Mulkar-Mehta

Also published as: Rutu Mulkar


2011

pdf bib
Annotating and Learning Event Durations in Text
Feng Pan | Rutu Mulkar-Mehta | Jerry R. Hobbs
Computational Linguistics, Volume 37, Issue 4 - December 2011

pdf bib
Abductive Reasoning with a Large Knowledge Base for Discourse Processing
Ekaterina Ovchinnikova | Niloofar Montazeri | Theodore Alexandrov | Jerry Hobbs | Michael C. McCord | Rutu Mulkar-Mehta
Proceedings of the Ninth International Conference on Computational Semantics (IWCS 2011)

pdf bib
Granularity in Natural Language Discourse
Rutu Mulkar-Mehta | Jerry Hobbs | Eduard Hovy
Proceedings of the Ninth International Conference on Computational Semantics (IWCS 2011)

2010

pdf bib
Proceedings of the NAACL HLT 2010 First International Workshop on Formalisms and Methodology for Learning by Reading
Rutu Mulkar-Mehta | James Allen | Jerry Hobbs | Eduard Hovy | Bernardo Magnini | Chris Manning
Proceedings of the NAACL HLT 2010 First International Workshop on Formalisms and Methodology for Learning by Reading

2006

pdf bib
Learning Event Durations from Event Descriptions
Feng Pan | Rutu Mulkar | Jerry R. Hobbs
Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics

pdf bib
An Annotated Corpus of Typical Durations of Events
Feng Pan | Rutu Mulkar | Jerry R. Hobbs
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

In this paper, we present our work on generating an annotated corpus for extracting information about the typical durations of events from texts. We include the annotation guidelines, the event classes we categorized, the way we use normal distributions to model vague and implicit temporal information, and how we evaluate inter-annotator agreement. The experimental results show that our guidelines are effective in improving the inter-annotator agreement.

pdf bib
Extending TimeML with Typical Durations of Events
Feng Pan | Rutu Mulkar | Jerry R. Hobbs
Proceedings of the Workshop on Annotating and Reasoning about Time and Events