Three mechanisms of parser driving for structure disambiguation

Sofía N. Galicia-Haro, Alexander Gelbukh, Igor A. Bolshakov

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Resumen

Structural ambiguity is one of the most difficult problems in natural language processing. Two disambiguation mechanisms for unrestricted text analysis are commonly used: lexical knowledge and context considerations. Our parsing method includes three different mechanisms to reveal syntactic structures and an additional voting module to obtain the most probable structures for a sentence. The developed tools do not require any tagging or syntactic marking of texts.

Idioma originalInglés
Título de la publicación alojadaComputational Linguistics and Intelligent Text Processing - 2nd International Conference, CICLing 2001, Proceedings
EditoresAlexander Gelbukh
EditorialSpringer Verlag
Páginas192-194
Número de páginas3
ISBN (versión impresa)3540416870, 9783540416876
DOI
EstadoPublicada - 2001
Evento2nd International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2001 - Mexico City, México
Duración: 18 feb. 200124 feb. 2001

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen2004
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia2nd International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2001
País/TerritorioMéxico
CiudadMexico City
Período18/02/0124/02/01

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