Three mechanisms of parser driving for structure disambiguation

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationComputational Linguistics and Intelligent Text Processing - 2nd International Conference, CICLing 2001, Proceedings
EditorsAlexander Gelbukh
PublisherSpringer Verlag
Pages192-194
Number of pages3
ISBN (Print)3540416870, 9783540416876
DOIs
StatePublished - 2001
Event2nd International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2001 - Mexico City, Mexico
Duration: 18 Feb 200124 Feb 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2004
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2001
Country/TerritoryMexico
CityMexico City
Period18/02/0124/02/01

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