arXiv subjects

Jean-Philippe Kotowicz

Publications and source records attributed to Jean-Philippe Kotowicz.

4 recordsLinked to original sources

arXiv2014

Étude cognitive des processus de construction d'une requête dans un système de gestion de connaissances médicales

This article presents the Cogni-CISMeF project, which aims at improving medical information search in the CISMeF system (Catalog and Index of French-language health resources) by including a conversational agent to interact with the user in natural language. To study the cognitive processes involved during the information search, a bottom-up methodology was adopted. Experimentation has been set up to obtain human dialogs between a user (playing the role of patient) dealing with medical information search and a CISMeF expert refining the request. The analysis of these dialogs underlined the use of discursive evidence: vocabulary, reformulation, implicit or explicit expression of user intentions, conversational sequences, etc. A model of artificial agent is proposed. It leads the user in its information search by proposing to him examples, assistance and choices. This model was implemented and integrated in the CISMeF system. ---- Cet article décrit le projet Cogni-CISMeF qui propose un module de dialogue Homme-Machine à intégrer dans le système d'indexation de connaissances médicales CISMeF (Catalogue et Index des Sites Médicaux Francophones). Nous avons adopté une démarche de modélisation cognitive en procédant à un recueil de corpus de dialogues entre un utilisateur (jouant le rôle d'un patient) désirant une information médicale et un expert CISMeF af inant cette demande pour construire la requête. Nous avons analysé la structure des dialogues ainsi obtenus et avons étudié un certain nombre d'indices discursifs : vocabulaire employé, marques de reformulation, commentaires méta et épilinguistiques, expression implicite ou explicite des intentions de l'utilisateur, enchaînement conversationnel, etc. De cette analyse, nous avons construit un modèle d'agent artificiel doté de capacités cognitives capables d'aider l'utilisateur dans sa tâche de recherche d'information. Ce modèle a été implémenté et intégré dans le système CISMeF.

cs.IR↗

arXiv2009

Context and Keyword Extraction in Plain Text Using a Graph Representation

Document indexation is an essential task achieved by archivists or automatic indexing tools. To retrieve relevant documents to a query, keywords describing this document have to be carefully chosen. Archivists have to find out the right topic of a document before starting to extract the keywords. For an archivist indexing specialized documents, experience plays an important role. But indexing documents on different topics is much harder. This article proposes an innovative method for an indexing support system. This system takes as input an ontology and a plain text document and provides as output contextualized keywords of the document. The method has been evaluated by exploiting Wikipedia's category links as a termino-ontological resources.

cs.IR↗

arXiv2009

Conception d'un outil d'aide à l'indexation de ressources pédagogiques - Extraction automatique des thématiques et des mots-clefs de documents UNIT

Indexing learning documents using the Learning Object Metadata (LOM) is often carried out manually by archivists. Filling out the LOM fields is a long and difficult task, requiring a complete reading and a full knowledge on the topic dealt within the document. In this paper, we present an innovative model and method to assist the archivists in finding the important concepts and keywords of a learning document. The application is performed using wikipedia's category links.

cs.IR↗

arXiv2009

Modeling Human Interaction to Design a Human-Computer Dialog System

This article presents the Cogni-CISMeF project, which aims at improving the health information search engine CISMeF, by including a conversational agent that interacts with the user in natural language. To study the cognitive processes involved during information search, a bottom-up methodology was adopted. An experiment has been set up to obtain human dialogs related to such searches. The analysis of these dialogs underlines the establishment of a common ground and accommodation effects to the user. A model of artificial agent is proposed, that guides the user by proposing examples, assistance and choices.

cs.HC↗