Construction automatique de hiérarchies sémantiques à partir du Trésor de la Langue Française informatisé (TLFi) : application à l'indexation et la recherche d'images

Abstract : The main purpose of this thesis is to show that the lexical information issuing from a language dictionary, as the Trésor de la langue française informatisé (TLFi), can improve the image indexing and retrieval process. The problem of using of such resource is that it is not sufficiently formalized to be exploited immediately in such application domain. To solve this problem, we propose a first approach of automatic construction of semantic hierarchies from TLFi. After defining a quantitative (measurable) and comparable characteristic of names appearing in dictionary definitions, through a weighting formula that allows us to select the name of the maximum weight as a good hypernym candidate for a given TLFi lexeme, we suggest an algorithm of automatic construction of semantic hierarchies for the lexemes of TLFi vocables. Once our approach is validated through manual evaluations, we demonstrate in the second time that the semantic hierarchies obtained from TLFi can be used to enrich a thesaurus manually built as well as for automatic image indexing using their associated text descriptions. We also prove that the use of such resource in the domain of image retrieval improves the accuracy of search by structuring the results according the domains to which the concepts of the search query are related to. The implementation of a prototype allowed us to evaluate and validate the proposed approaches.
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Inga Gheorghita. Construction automatique de hiérarchies sémantiques à partir du Trésor de la Langue Française informatisé (TLFi) : application à l'indexation et la recherche d'images. Linguistique. Université de Lorraine, 2014. Français. ⟨NNT : 2014LORR0281⟩. ⟨tel-01751588⟩

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