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Introducción a FunGramKB

Authors: Periñán-Pascual, Carlos; Arcas Túnez, Francisco;

Introducción a FunGramKB

Abstract

[ES] Los vínculos entre el procesamiento del lenguaje natural y la lingüística teórica no han sido ni tan numerosos ni tan productivos como podríamos esperar. En los últimos veinte años, ha aumentado progresivamente la tendencia a utilizar enfoques estadísticos, los cuales resultan más económicos y rápidos de implementar. No obstante, con el fin de realizar algún avance en el procesamiento semántico y pragmático, se requiere un nuevo paradigma en los sistemas de comprensión del lenguaje, en el cual se conjuguen los resultados investigadores de disciplinas como la ciencia cognitiva, la lingüística y la inteligencia artificial. Con este objetivo, se diseñó e implementó computacionalmente la base de conocimiento FunGramKB. Este artículo presenta brevemente los diversos módulos que configuran los niveles léxico, gramatical y conceptual en esta base de conocimiento, destaca aquellas investigaciones que han influido de manera más determinante en nuestro modelo teórico y además describe el papel de este recurso en un sistema del procesamiento del lenguaje natural.

Este trabajo forma parte de varios proyectos de investigación financiados por el Ministerio de Ciencia y Tecnología, códigos FFI2008-05035-C02-01, FFI2010-15983 y FFI2010-17610.

Keywords

UNESCO::CIENCIAS DE LAS ARTES Y LAS LETRAS, Razonamiento, Filologías, :CIENCIAS DE LAS ARTES Y LAS LETRAS [UNESCO], Gramática del Papel y la Referencia, Filología inglesa, FunGramKB, Base de conocimiento, Procesamiento del lenguaje natural, Otras filologías modernas, FILOLOGIA INGLESA

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
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