An Applicaion of Bayesian Networks to Lexical Ambiguituy Resolution

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概要

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• The system described in the present thesis is able to syntacticly analize and idenify the semantic cases and correct meaning for each word of the input sentence.The syntactic analysis is based on a formal grammar and is designed to identify te elements of the dentence.The semantic analysis is made using information about possible meanings and classification in a taxonomic hiearchy and semantic preferences.The two proccesses are interconnected and work in parallel since syntactic information may help semantic analysis and the other way round.The model in which the system described in the present work was based is a Bayesian(Belief)Network (Pearl,1988) for the net structure makes possible both rule based reasoning and context information handling,while the probabilistic nature is adequate for treating conflicting and incomplete information and exceptions as well.

• 1994-09-20

著者

• Alves Eduardo

  Department Of Computer Science

• Teiji Furugoori

  University of Electro-Communications

関連論文

• An Applicaion of Bayesian Networks to Lexical Ambiguituy Resolution
• Three-Word Dependency Relations and Their Application to Structural Ambiguity Resolution (特集:マルチメディア通信と分散処理)

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