Identification of event mentions and their semantic class

Steven Bethard, James H. Martin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

41 Scopus citations

Abstract

Complex tasks like question answering need to be able to identify events in text and the relations among those events. We show that this event identification task and a related task, identifying the semantic class of these events, can both be formulated as classification problems in a word-chunking paradigm. We introduce a variety of linguistically motivated features for this task and then train a system that is able to identify events with a precision of 82% and a recall of 71%. We then show a variety of analyses of this model, and their implications for the event identification task.

Original languageEnglish (US)
Title of host publicationCOLING/ACL 2006 - EMNLP 2006
Subtitle of host publication2006 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages146-154
Number of pages9
ISBN (Print)1932432736, 9781932432732
DOIs
StatePublished - 2006
Externally publishedYes
Event11th Conference on Empirical Methods in Natural Language Proceessing, EMNLP 2006, Held in Conjunction with COLING/ACL 2006 - Sydney, NSW, Australia
Duration: Jul 22 2006Jul 23 2006

Publication series

NameCOLING/ACL 2006 - EMNLP 2006: 2006 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Conference

Conference11th Conference on Empirical Methods in Natural Language Proceessing, EMNLP 2006, Held in Conjunction with COLING/ACL 2006
Country/TerritoryAustralia
CitySydney, NSW
Period7/22/067/23/06

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems

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