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2018 | OriginalPaper | Buchkapitel

WordNet and Wiktionary-Based Approach for Word Sense Disambiguation

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Autoren: Mohamed Ben Aouicha, Mohamed Ali Hadj Taieb, Hania Ibn Marai

Verlag: Springer International Publishing

Erschienen in: Transactions on Computational Collective Intelligence XXIX

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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 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 8^th 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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http://babelfy.org.

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Titel

WordNet and Wiktionary-Based Approach for Word Sense Disambiguation

Buch

Transactions on Computational Collective Intelligence XXIX

Print ISBN: 978-3-319-90286-9

Electronic ISBN: 978-3-319-90287-6

https://doi.org/10.1007/978-3-319-90287-6

DOI

https://doi.org/10.1007/978-3-319-90287-6_7

Autoren:

Mohamed Ben Aouicha
Mohamed Ali Hadj Taieb
Hania Ibn Marai

Verlag

Springer International Publishing

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