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Reducing lexical semantic complexity with systematic polysemous classes and underspecification

Published:30 April 2000Publication History

ABSTRACT

This paper presents an algorithm for finding systematic polysemous classes in WordNet and similar semantic databases, based on a definition in (Apresjan 1973). The introduction of systematic polysemous classes can reduce the amount of lexical semantic processing, because the number of disambiguation decisions can be restricted more clearly to those cases that involve real ambiguity (homonymy). In many applications, for instance in document categorization, information retrieval, and information extraction, it may be sufficient to know if a given word belongs to a certain class (underspecified sense) rather than to know which of its (related) senses exactly to pick. The approach for finding systematic polysemous classes is based on that of (Buitelaar 1998a, Buitelaar 1998b), while addressing some previous shortcomings.

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  1. Reducing lexical semantic complexity with systematic polysemous classes and underspecification

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      • Published in

        cover image DL Hosted proceedings
        NAACL-ANLP-SSCNLPS '00: Proceedings of the 2000 NAACL-ANLP Workshop on Syntactic and semantic complexity in natural language processing systems - Volume 1
        April 2000
        74 pages

        Publisher

        Association for Computational Linguistics

        United States

        Publication History

        • Published: 30 April 2000

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        Overall Acceptance Rate21of29submissions,72%

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