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Automatic word sense disambiguation based on document networks

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Abstract

In this paper, a survey of works on word sense disambiguation is presented, and the method used in the Texterra system [1] is described. The method is based on calculation of semantic relatedness of Wikipedia concepts. Comparison of the proposed method and the existing word sense disambiguation methods on various document collections is given.

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Authors and Affiliations

  1. Department of Computational Mathematics and Cybernetics, Moscow State University, Moscow, 119992, Russia

    D. Yu. Turdakov

  2. Institute of System Programming, Russian Academy of Sciences, ul. Solzhenitsyna 25, Moscow, 109004, Russia

    S. D. Kuznetsov

Authors
  1. D. Yu. Turdakov
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  2. S. D. Kuznetsov
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Correspondence to D. Yu. Turdakov.

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Original Russian Text © D.Yu. Turdakov, S.D. Kuznetsov, 2010, published in Programmirovanie, 2010, Vol. 36, No. 1.

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Turdakov, D.Y., Kuznetsov, S.D. Automatic word sense disambiguation based on document networks. Program Comput Soft 36, 11–18 (2010). https://doi.org/10.1134/S0361768810010032

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