A knowledge based strategy for recognising textual entailment

Authors:
Óscar Ferrández;Rafael M. Terol;Rafael Muñoz;Patricio Martínez-Barco;Manuel Palomar
Affiliations:
Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Alicante, Spain;Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Alicante, Spain;Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Alicante, Spain;Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Alicante, Spain;Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Alicante, Spain
Venue:
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
Year:
2006

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Abstract

This paper presents a knowledge based textual entailment approach comprising two stages The first stage consists of inferring the logic forms for both the text and the hypothesis The logic forms are obtained by analysing the dependency relations between words The second stage carries out a comparison between the inferred logic forms by means of WordNet relations This comparison aims at establishing the existence of an entailment relation This approach has been evaluated within the PASCAL Second RTE Challenge and achieved 60% average precision.