[Show abstract][Hide abstract] ABSTRACT: Nous présentons dans cet article des approches visant à valider des relations syntaxiques induites de type Verbe-Objet. Ainsi, nous proposons d'utiliser dans un premier temps une approche s'appuyant sur des vecteurs sémantiques déterminés à l'aide d'un thésaurus. La seconde approche emploie une validation Web. Nous effectuons des requêtes sur un moteur de recherche associées à des mesures statistiques afin de déterminer la pertinence d'une relation syntaxique. Nous proposons enfin de combiner ces deux méthodes. La qualité de nos approches de validation de relations syntaxiques a été évaluée en utilisant des courbes ROC.
[Show abstract][Hide abstract] ABSTRACT: In this paper, different approaches of building and expanding conceptual classes are presented. Classes are built using syntactic and semantic information provided by a corpus. Then, expansion is addressed by two different methods. The first method deals with the objects of syntactic relations found in the corpus. Relations between classes are thus designed. They are called induced relations. Then we use objects of induced syntactic relations (called complementary objects) to expand conceptual classes. We propose an automatic experimental protocol to measure the relevance of the provided concepts. The protocol helps alleviating the judgment effort of a human expert. The second method expands concepts with more global terms by using Web knowledge associated with the existing concepts. Both methods are evaluated and mixed in order to provide the most reliable technique in expanding conceptual classes.
[Show abstract][Hide abstract] ABSTRACT: The semantic analysis of texts requires beforehand the building of objects related to lexical semantics. Idea vectors and lexical networks seems to be adequate for such a purpose and are complementary. However, one should still be able to construct them in practice. Vectors can be computed with definition corpora extracted from dictionaries, with thesaurii or with plain texts. They can be derived as conceptual vectors, anonymous vectors or lexical vectors - each of those being a particular balance between precision, coverage and practicality. Concerning lexical networks, they can be efficiently constructed through serious games, which is precisely the goal of the JeuxDeMots project. The semantic analysis can be tackled from the thematic analysis, and can serve as computing means for idea vectors. We can modelise the analysis problem as actviations and propagations. The numerous criteria occuring in the semantic analysis and the difficulties related to the proper definition
of a control function, lead us to explore metaheuristics inspired from nature. More precisely, we introduce
an analysis moodel based on artificial ant colonies. From a given text, the analysis aims at building a graph holding objects of the text (words, phrases, sentences, etc.), highlighting objects considered as relevant (phrases and concepts) as well as typed and weighted relations between those objects.
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