Recognizing partial textual entailment

Omer Levy, Torsten Zesch, Ido Dagan, Iryna Gurevych

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Textual entailment is an asymmetric relation between two text fragments that describes whether one fragment can be inferred from the other. It thus cannot capture the notion that the target fragment is "almost entailed" by the given text. The recently suggested idea of partial textual entailment may remedy this problem. We investigate partial entailment under the faceted entailment model and the possibility of adapting existing textual entailment methods to this setting. Indeed, our results show that these methods are useful for recognizing partial entailment. We also provide a preliminary assessment of how partial entailment may be used for recognizing (complete) textual entailment.

Original languageEnglish
Title of host publicationShort Papers
PublisherAssociation for Computational Linguistics (ACL)
Pages451-455
Number of pages5
ISBN (Print)9781937284510
StatePublished - 2013
Event51st Annual Meeting of the Association for Computational Linguistics, ACL 2013 - Sofia, Bulgaria
Duration: 4 Aug 20139 Aug 2013

Publication series

NameACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
Volume2

Conference

Conference51st Annual Meeting of the Association for Computational Linguistics, ACL 2013
Country/TerritoryBulgaria
CitySofia
Period4/08/139/08/13

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Linguistics and Language

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