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WSD-TIC: Word Sense Disambiguation Using Taxonomic Information Content

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Computational Collective Intelligence (ICCCI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9875))

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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.

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Notes

  1. 1.

    JWNL WordNet Java API: http://sourceforge.net/projects/jwordnet.

  2. 2.

    http://projects.csail.mit.edu/jsemcor/.

  3. 3.

    www.hipposmond.com/senseval2/Results/all_graphs.xls.

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Authors and Affiliations

  1. Multimedia Information System and Advanced Computing Laboratory, Sfax University, Sfax, Tunisia

    Mohamed Ben Aouicha, Mohamed Ali Hadj Taieb & Hania Ibn Marai

Authors
  1. Mohamed Ben Aouicha
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  2. Mohamed Ali Hadj Taieb
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  3. Hania Ibn Marai
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Corresponding author

Correspondence to Mohamed Ali Hadj Taieb .

Editor information

Editors and Affiliations

  1. Wrocław University of Technology, Wrocław, Poland

    Ngoc-Thanh Nguyen

  2. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Lazaros Iliadis

  3. Department of Forestry and Management, Democritus University of Thrace, Orestiada, Thrace, Greece

    Yannis Manolopoulos

  4. Wrocław University of Technology, Wrocław, Poland

    Bogdan Trawiński

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Ben Aouicha, M., Hadj Taieb, M.A., Ibn Marai, H. (2016). WSD-TIC: Word Sense Disambiguation Using Taxonomic Information Content. In: Nguyen, NT., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9875. Springer, Cham. https://doi.org/10.1007/978-3-319-45243-2_12

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  • DOI: https://doi.org/10.1007/978-3-319-45243-2_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45242-5

  • Online ISBN: 978-3-319-45243-2

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