Une approche par surclassement pour le contrôle d'un processus d'analyse linguistique

Grégory Smits 1
1 SHAMAN - Symbolic and Human-centric view of dAta MANagement
IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : Natural Language Processing (NLP) systems are continuously faced with the problem of generating concurrent hypotheses, of which some can be erroneous. In order to avoid the propagation of erroneous hypotheses, it appears to be essential to apply specific control strategies, which aim to distinguishing concurrent hypotheses based on their relevance. On most of observed indetermination cases, we have noticed that multiple heterogeneous knowledge sources have to be combined to determine the hypotheses relative relevance. According to this observation, we show that the control of the indetermination cases can be formalised as a decisional process based on multiple criteria. This decisional formalisation and our research of an adapted methodology have conducted us toward an outranking approach issued from the MultiCriteria Decision Aid (MCDA) paradigm. This approach differs from alternative methods by the importance granted to knowledge and preferences that an expert can express about a given problem. From this innovative intersection between NLP and MCDA, our work has been focalised on the development of a decisional module dedicated to multicriteria control. The integration of this module into a complete NLP system has allowed us to attest the feasibility of our approach and to perform experimentation on concrete indetermination cases.
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Grégory Smits. Une approche par surclassement pour le contrôle d'un processus d'analyse linguistique. Intelligence artificielle [cs.AI]. Université de Caen (France), 2008. Français. ⟨tel-01759840⟩

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