A Probabilistic Setting and Lexical Coocurrence Model for Textual Entailment

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.

• Publication year

  2005

• Venue

  EMSEE@ACL

• Publication date

  2005-06-30

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.3115/1631862.1631870
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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