A semantic approach to recognizing textual entailment

  • Authors:
  • Marta Tatu;Dan Moldovan

  • Affiliations:
  • Language Computer Corporation, Richardson, TX;Language Computer Corporation, Richardson, TX

  • Venue:
  • HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
  • Year:
  • 2005

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Abstract

Exhaustive extraction of semantic information from text is one of the formidable goals of state-of-the-art NLP systems. In this paper, we take a step closer to this objective. We combine the semantic information provided by different resources and extract new semantic knowledge to improve the performance of a recognizing textual entailment system.