Textual entailment and Anaphora resolution

Partha Pakray, Sivaji Bandyopadhyay, Alexander Gelbukh

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

2 Scopus citations

Abstract

Textual entailment has been recently defined as a common solution for modeling language variability in different NLP tasks. Textual Entailment is formally defined as a relationship between a coherent text T and a language expression, the hypothesis H. T is said to entail H (T → H) if the meaning of H can be inferred from the meaning of T. An entailment/unction e(T,H) thus maps an entailment pair T-H to a true value (i.e., true if the relationship holds,/alse otherwise). Alternatively, e(T,H) can be also intended as a probabilistic function mapping the pair T-H to a real value between 0 and 1, expressing the confidence with which a human judge or an automatic system estimate the relationship to hold.

Original languageEnglish
Title of host publicationICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings
PagesV6334-V6336
DOIs
StatePublished - 2010
Event2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010 - Chengdu, China
Duration: 20 Aug 201022 Aug 2010

Publication series

NameICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings
Volume6

Conference

Conference2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010
Country/TerritoryChina
CityChengdu
Period20/08/1022/08/10

Keywords

  • Anaphora resolution
  • Direct implication
  • Semantic subsumption
  • Syntactic subsumption
  • Text entailment

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