Biblioteca de la Universidad Complutense de Madrid

Textual entailment recognition based on dependency analysis and WordNet

Impacto



Herrera de la Cruz, Jesús y Peñas, Anselmo y Verdejo, Felisa (2006) Textual entailment recognition based on dependency analysis and WordNet. In MLCW 2005. Lecture Notes in Artificial Intelligence, 3944 . Springer-Verlag, Berlin, pp. 231-239. ISBN 3 540 33427 0 (En prensa)

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Resumen

The Recognizing Textual Entailment System shown here is based on the use of a broad-coverage parser to extract dependency relationships; in addition, WordNet relations are used to recognize entailment at the lexical level. The work investigates whether the mapping of dependency trees from text and hypothesis give better evidence of entailment than the matching of plain text alone. While the use of WordNet seems to improve system's performance, the notion of mapping between trees here explored (inclusion) shows no improvement, suggesting that other notions of tree mappings should be explored such as tree edit distances or tree alignment distances.


Tipo de documento:Sección de libro
Palabras clave:Reconocimiento de implicación textual; Análisis de dependencias; Recognising textual entailment; Dependency analysis
Materias:Ciencias > Informática > Inteligencia artificial
Humanidades > Filología > Lingüística
Código ID:5526
Depositado:04 Abr 2006
Última Modificación:06 Feb 2014 07:44

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