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WordNet and Wiktionary-Based Approach for Word Sense Disambiguation

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Transactions on Computational Collective Intelligence XXIX

Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 10840))

Abstract

Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a computational manner. WSD is considered as 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 W3SD (This paper is an extended version of our work [4] published in the 8th International Conference on Computational Collective Intelligence.) 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 WordNet and Wiktionary features through the taxonomic information content from WordNet and the glosses from Wiktionary. 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.

    http://babelfy.org.

  2. 2.

    http://babelnet.org/.

  3. 3.

    https://en.wiktionary.org/wiki/Wiktionary:Main_Page.

  4. 4.

    http://nlp.stanford.edu/software/.

  5. 5.

    http://wnetss-api.smr-team.org/.

  6. 6.

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

  7. 7.

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

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Author information

Authors and Affiliations

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

    Mohamed Ben Aouicha & Mohamed Ali Hadj Taieb

  2. Faculty of Sciences, Sfax University, Sfax, Tunisia

    Hania Ibn Marai

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  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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Correspondence to Mohamed Ben Aouicha .

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Editors and Affiliations

  1. Institute of Informatics, Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Swinburne University of Technology, Hawthorn, Australia

    Ryszard Kowalczyk

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Ben Aouicha, M., Hadj Taieb, M.A., Ibn Marai, H. (2018). WordNet and Wiktionary-Based Approach for Word Sense Disambiguation. In: Nguyen, N., Kowalczyk, R. (eds) Transactions on Computational Collective Intelligence XXIX. Lecture Notes in Computer Science(), vol 10840. Springer, Cham. https://doi.org/10.1007/978-3-319-90287-6_7

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