A probabilistic setting and lexical cooccurrence model for textual entailment

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Abstract

This paper proposes a general probabilistic setting that formalizes a probabilistic notion of textual entailment. We further describe a particular preliminary model for lexical-level entailment, based on document cooccurrence probabilities, which follows the general setting. The model was evaluated on two application independent datasets, suggesting the relevance of such probabilistic approaches for entailment modeling.

Original languageEnglish
Pages43-48
Number of pages6
StatePublished - 2005
Event2005 ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment, EMSEE 2005 - Ann Arbor, United States
Duration: 30 Jun 2005 → …

Conference

Conference2005 ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment, EMSEE 2005
Country/TerritoryUnited States
CityAnn Arbor
Period30/06/05 → …

Bibliographical note

Publisher Copyright:
© 2005 Association for Computational Linguistics.

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