On the Application of Lexical-Syntactic Knowledge to the Answer Validation Exercise

Authors:
Óscar Ferrández;Daniel Micol;Rafael Muñoz;Manuel Palomar
Affiliations:
Natural Language Processing and Information Systems Group Department of Computing Languages and Systems, University of Alicante, Spain;Natural Language Processing and Information Systems Group Department of Computing Languages and Systems, University of Alicante, Spain;Natural Language Processing and Information Systems Group Department of Computing Languages and Systems, University of Alicante, Spain;Natural Language Processing and Information Systems Group Department of Computing Languages and Systems, University of Alicante, Spain
Venue:
Advances in Multilingual and Multimodal Information Retrieval
Year:
2008

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Studying the influence of semantic constraints in AVE

CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access

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Abstract

This paper presents a system that applies Textual Entailment recognition techniques to the AVE task. This is performed comparing representations of text snippets by means of a variety of lexical measures and syntactic structures. The representations of the question and the answer are compared determining if there is an entailment relation between them. The performed experiments over the English test corpus obtained a maximum F-score of 0.39.