Textual entailment through extended lexical overlap and lexico-semantic matching

  • Authors:
  • Rod Adams;Gabriel Nicolae;Cristina Nicolae;Sanda Harabagiu

  • Affiliations:
  • University of Texas at Dallas, Richardson, Texas;University of Texas at Dallas, Richardson, Texas;University of Texas at Dallas, Richardson, Texas;University of Texas at Dallas, Richardson, Texas

  • Venue:
  • RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
  • Year:
  • 2007

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Abstract

This paper presents two systems for textual entailment, both employing decision trees as a supervised learning algorithm. The first one is based primarily on the concept of lexical overlap, considering a bag of words similarity overlap measure to form a mapping of terms in the hypothesis to the source text. The second system is a lexico-semantic matching between the text and the hypothesis that attempts an alignment between chunks in the hypothesis and chunks in the text, and a representation of the text and hypothesis as two dependency graphs. Their performances are compared and their positive and negative aspects are analyzed.