Semantic Parsing based on Verbal Subcategorization

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dc.creatorAtserias, Jordi
dc.creatorCastellon, Irene
dc.creatorCivit, Montse
dc.creatorRigau, German
dc.date2000-06-29
dc.date.accessioned2026-07-07T03:16:19Z
dc.date.available2026-07-07T03:16:19Z
dc.descriptionThe aim of this work is to explore new methodologies on Semantic Parsing for unrestricted texts. Our approach follows the current trends in Information Extraction (IE) and is based on the application of a verbal subcategorization lexicon (LEXPIR) by means of complex pattern recognition techniques. LEXPIR is framed on the theoretical model of the verbal subcategorization developed in the Pirapides project.
dc.description12 pages, extended version of the paper. Spanish version of the paper also available from authors home page
dc.identifierhttps://arxiv.org/abs/cs/0006042
dc.identifierhttp://arxiv.org/abs/cs/0006042
dc.identifierConference on Intelligence text Processing and Computational Linguistics, CICLing 2000. pg 330-340
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30308
dc.subjectComputation and Language
dc.subjectArtificial Intelligence
dc.subjectI.2.7;I.5
dc.titleSemantic Parsing based on Verbal Subcategorization
dc.typetext

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