Textual Entailment Recognition Based on Structural Isomorphism

  • Authors:
  • Diego Uribe

  • Affiliations:
  • División de Posgrado e Investigación, Instituto Tecnológico de la Laguna, Torreón, MX

  • Venue:
  • MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
  • Year:
  • 2008

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Abstract

In this paper we define a measure for textual entailment recognition based on structural isomorphism theory applied to lexical dependency information. We describe the experiments carried out to estimate measure's parameters with logistic regression and SVM. The results obtained show how a model constructed around lexical relationships is a plausible alternative for textual entailment recognition.