Combining dependency and constituent-based resources for structure disambiguation

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

Research output: Contribution to journalConference articlepeer-review

Abstract

Unrestricted text analysis requires an accurate syntactic analysis but structural ambiguity is one of the most difficult problems to resolve. Researchers have tried different approaches to obtain the correct syntactic structure from analyzed sentences but not successful results have been obtained. Two different approaches have traditionally applied to syntactic analysis: constituent grammars and dependency grammars. We propose a model for syntactic analysis and disambiguation combining lexical dependencies and semantic proximity. Lexical dependencies are applied by means of a government pattern dictionary following the dependency approach. The semantic proximity is introduced by means of semantic closeness among constituents. Examples are given to illustrate method's contributions.

Original languageEnglish
Pages (from-to)2873-2879
Number of pages7
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume5
StatePublished - 2001
Event2001 IEEE International Conference on Systems, Man and Cybernetics - Tucson, AZ, United States
Duration: 7 Oct 200110 Oct 2001

Keywords

  • Context free grammar
  • Dependency grammar
  • Lexical dependencies
  • Semantic proximity
  • Syntactic analysis

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