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Conception d'une chaîne de traitement de la langue naturelle pour un agent conversationnel assistant

Abstract : With the increasing number of novice users of computer applications, the need for efficient assistance has become critical. To supply the need, we suggest using an Assistant Conversational Agent (ACA), that is an interface allowing the use of natural language (used spontaneously when a problem arises) and providing a reassuring presence to the users. A preliminary study details the constitution (combining collection and the use of thesauri) of a corpus of requests, which need is justified. This corpus of 11626 requests is compared with others, and we show that it covers the studied domain of assistance and moreover, contains requests regarding controlling of the application and chatting with the agent. This corpus provides a sound foundation for the conception of a syntactico-semantic analyzer of natural language requests, using a set of semantic keys, a set of analysis rules and a set of transformation rules. In output, requests are expressed in a formal language (DAFT) for which we provide the syntax and the semantics. The analyzer is evaluated by comparing a manual annotation and the requests automatically produced, and we consider the use of some supervised machine learning approaches in order to identify conversational activities. The methodology followed is validated through the integration of an ACA into an existing Web application for cooperative music prototyping. Finally, we describe the required architecture for the rational agent in charge of defining the reactions based on the formal requests expressed in DAFT and on the model of the application, emphasizing the need for a cognitive model.
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Submitted on : Friday, July 8, 2011 - 2:39:56 PM
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  • HAL Id : tel-00607298, version 1



François Bouchet. Conception d'une chaîne de traitement de la langue naturelle pour un agent conversationnel assistant. Informatique [cs]. Université Paris Sud - Paris XI, 2010. Français. ⟨tel-00607298⟩



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