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WSD-TIC: Word Sense Disambiguation Using Taxonomic Information Content

  • Mohamed Ben Aouicha
  • Mohamed Ali Hadj TaiebEmail author
  • Hania Ibn Marai
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9875)

Abstract

Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a computational manner. WSD is considered as an AI-complete problem, that is, a task whose solution is at least as hard as the most difficult problems in artificial intelligence. This is basically used in application like information retrieval, machine translation, information extraction because of its semantics understanding. This paper describes the proposed approach (WSD-TIC) which is based on the words surrounding the polysemous word in a context. Each meaning of these words is represented by a vector composed of weighted nouns using taxonomic information content. The main emphasis of this paper is feature selection for disambiguation purpose. The assessment of WSD systems is discussed in the context of the Senseval campaign, aiming at the objective evaluation of our proposal to the systems participating in several different disambiguation tasks.

Keywords

Word Sense Disambiguation Information content Gloss WordNet 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Mohamed Ben Aouicha
    • 1
  • Mohamed Ali Hadj Taieb
    • 1
    Email author
  • Hania Ibn Marai
    • 1
  1. 1.Multimedia Information System and Advanced Computing LaboratorySfax UniversitySfaxTunisia

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