Three Mechanisms of Parser Driving for Structure Disambiguation

Authors:
Sofia N. Galicia-Haro;Alexander F. Gelbukh;Igor A. Bolshakov
Affiliations:
-;-;-
Venue:
CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
Year:
2001

Citing 2
Cited 0

Discovery of linguistic relations using lexical attraction

Discovery of linguistic relations using lexical attraction
Head-driven statistical models for natural language parsing

Head-driven statistical models for natural language parsing

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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.