Évaluer et améliorer une ressource distributionnelle : Protocole d'annotation de liens sémantiques en contexte

Abstract : Using distributional analysis methods to compute semantic proximity links between words has become commonplace in NLP. This paper focuses on the issues of evaluating a distributional resource. We consider that setting up an evaluation procedure is a first step towards the characterization of the resource, and a way to improve its overall quality. We then propose a new protocol for in-text annotation of distributional neighbors, which is used to build a reliable reference data set. The data generated are analyzed and used to guide the automatic categorization of distributional links.
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Clémentine Adam, Cécile Fabre, Philippe Muller. Évaluer et améliorer une ressource distributionnelle : Protocole d'annotation de liens sémantiques en contexte. Traitement Automatique des Langues, ATALA, 2013, 54 (1), pp.71-97. ⟨hal-00978662⟩

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