Javier Couto

REGAL, un système pour la visualisation sélective de documents

Information retrieval systems generally return a list of ranked documents, such as only the title and possibly a snippet that contains the words of the request allow a user to evaluate the document relevance relative to her initial request. This kind of result leads the user to browse a lot of documents before satisfying her information need. In order to improve information retrieval, we have studied text visualization: which information has to be shown and how? Our system REGAL (REsume Guide par les Attentes du Lecteur), automatically extracts the visualized information from texts by applying a thematic analysis that does not require a pre-existing structuring or a formatting of the texts, and is based on the combination of two criteria: lexical cohesion and cue phrases. MOTS-CLES : visualisation de texte, navigation textuelle, resume dynamique, analyse thematique.

NaviTexte, a Text Navigation Tool

In this paper, we describe NaviTexte, a software devoted to text navigation. First, we explain our conception of text navigation, which exploits linguistic information in texts to offer dynamic reading paths to a reader. Second, we describe a text representation specially defined to support our approach. Then we present a language for modeling navigation knowledge and its implementation framework. At last, two experimentations are presented: one aiming at teaching French at Danish students and the other one proposes text navigation as an alternative at the process of summarization based on sentences extraction.