Disambiguating Distributional Neighbors Using a Lexical Substitution Dataset

Abstract : This paper addresses the issue of polysemy in a distributional thesaurus. In such resources, distributional neighbors can relate indistinguishably to various senses. We propose a method to cluster the neighbors of a target word with respect to its senses, i.e. to attribute one sense to each neighbor. This is made possible by the use of a lexical substitution dataset, to which the distribution of the neighbors are compared.
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François Morlane-Hondère, Cécile Fabre, Nabil Hathout, Ludovic Tanguy. Disambiguating Distributional Neighbors Using a Lexical Substitution Dataset. 11th International Workshop on Natural Language Processing and Cognitive Science, Oct 2014, Venise, Italy. ⟨hal-02054305⟩

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