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

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

Modèle de comportement communicatif conventionnel pour un agent en interaction avec des humains (Approche par jeux de dialogue)

Cette thèse a pour objectif l amélioration des capacités communicatives des agents logiciels en interaction avec des humains. Dans ce but, nous proposons une méthodologie basée sur l étude d un corpus d interactions Homme-Homme orientées vers la réalisation d une tâche. Nous proposons un cadre qui s appuie sur les jeux de dialogue afin de modéliser des motifs dialogiques observés. Nous illustrons la spécification de tels jeux depuis des motifs extraits en appliquant l'ensemble des étapes de noter méthodologie à un corpus. Les jeux spécifiés sont validés en montrant qu ils décrivent de façon appropriée les motifs apparaissant dans le corpus de référence. Enfin, nous montrons l intérêt interprétatif et génératif de notre modèle pour le fondement du comportement communicatif conventionnel d un agent interagissant avec un humain. Nous implémentons ce modèle dans le module Dogma, exploitable par un agent dans un dialogue impliquant deux interlocuteurs.This research work aims at improving the communicative behaviour of software agents interacting with humans. To this purpose, we present a data-driven methodology based on the study of a task oriented corpus consisting of Human-Human interactions. We present a framework to specify dialogue games from observed interaction patterns based on the notion of social commitments and conversational gameboard. We exemplify the specification of dialogue games by implementing all the steps of our methodology ona task-oriented corpus. The produced games are validated by showing that they appropriately describe the patterns appearing in a reference corpus. Eventually, we show that an agent can take advantage of our model to regulate its conventional communicative behaviour on both interpretative and generative levels. We implement this model into Dogma, a module that can be used by an agent to manage its communicative behaviour in a two-interlocutor dialogue.ROUEN-INSA Madrillet (765752301) / SudocSudocFranceF

Conception d'un outil d'aide \`a l'indexation de ressources p\'edagogiques - Extraction automatique des th\'ematiques 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

Révision et planification d'actions

P. Marquis & C. Brassac ed,National audienc

Cognitive Modeling of interactions during a negotiation process

International audienc

Designing a Human-Computer Dialog System for Medical Information Search

International audienceThis article presents the Cogni-CISMeF project, which aims at improving medical information search in the CISMeF system 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. Experiments have been set up to obtain human dialogs dealing with medical information search. The analysis of these dialogs underlined the establishment of a common ground and accommodation effects to the user. A model of artificial agent is proposed. It leads the user in its information search by proposing to him examples, assistance and choices

An Issue-Based Approach to Information Search Modelling: Analysis of a Human Dialog Corpus

International audienceWe aim 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. In this article, the emphasis lays on the analysis of these human dialogs

A Cognitive Architecture of Human Planning and Interaction

International audienc