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Semantic Similarity Functions in Word Sense Disambiguation

  • Łukasz Kobyliński
  • Mateusz Kopeć
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7499)

Abstract

This paper presents a method of improving the results of automatic Word Sense Disambiguation by generalizing nouns appearing in a disambiguated context to concepts. A corpus-based semantic similarity function is used for that purpose, by substituting appearances of particular nouns with a set of the most closely related similar words. We show that this approach may be applied to both supervised and unsupervised WSD methods and in both cases leads to an improvement in disambiguation accuracy. We evaluate the proposed approach by conducting a series of lexical sample WSD experiments on both domain-restricted dataset and a general, balanced Polish-language text corpus.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Łukasz Kobyliński
    • 1
  • Mateusz Kopeć
    • 1
  1. 1.Institute of Computer SciencePolish Academy of SciencesWarszawaPoland

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