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<dc:title xml:lang="fr">Contribution à l'extraction de contradictions techniques depuis un corpus de brevets propre à un domaine par l'usage des techniques du traitement automatique des langues</dc:title>
<dcterms:alternative xml:lang="en">Contribution to the extraction of technical contradictions from a domain-specific patent corpus by using natural language processing techniques</dcterms:alternative>
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<dc:subject xml:lang="fr">Méthode de Conception Inventive</dc:subject>
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<dcterms:abstract xml:lang="fr">La Théorie de la Résolution des problèmes inventifs (TRIZ) vise à formaliser le processus d’invention et la Méthode de Conception Inventive (MCI) basée sur TRIZ, a produit une ontologie qui constitue un préambule à l’informatisation de la démarche. Le but principal de cette thèse consiste en l’extraction automatique de tous les paramètres en contradiction depuis un ensemble de textes de brevets afin de constituer l’état de l’art d’un domaine particulier sous la forme d’un ensemble de contradictions en préambule d’une action de résolution inventive. Malgré l’existence de plusieurs outils élaborés se basant sur TRIZ, la Matrice des contradictions reste un outil populaire, surtout parmi les novices dans TRIZ. Pourtant, l’utilisation erronée de la Matrice crée des difficultés d’interprétation des résultats obtenus. Les techniques du Traitement Automatique des Langues (TAL) contribuent à une compréhension plus rapide et approfondie des textes. Nous nous intéressons à l’usage des méthodes du TAL afin d’identifier automatiquement les composants des contradictions et déterminer les états contradictoires entre paramètres.</dcterms:abstract>
<dcterms:abstract xml:lang="en">The Theory of Inventive Problem Solving (TRIZ) aims to formalize the invention process. The Inventive Design Method (IDM) based on TRIZ has produced an ontology that is a preamble to computerization of the process. The main goal of this thesis is to automate the extraction of all contradictory parameters from a set of patent texts in order to constitute the state of the art of a particular field in the form of a set of contradictions as a preamble to an inventive problem-solving process. Despite several tools based on TRIZ, the Contradiction Matrix remains a popular tool, especially among TRIZ novices. However, the misuse of the Matrix creates difficulties in interpreting the results obtained. Natural Language Processing (NLP) techniques contribute to a faster and deeper understanding of texts. We are interested in using NLP methods to automatically identify the components of contradictions and determine contradictory states between parameters.</dcterms:abstract>
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