Web as Huge Information Source for Noun Phrases Integration in the Information Retrieval Process

Mathias Géry 1 Mohamed Hatem Haddad 1 Dominique Vaufreydaz 2
1 CLIPS - IMAG - Communication Langagière et Interaction Personne-Système
2 CLIPS-IMAG - Equipe GEOD, Groupe d'étude sur l'oral et le dialogue
LIG - Laboratoire d'Informatique de Grenoble
Abstract : Web is a rich and diversified source of information. In this article, we propose to benefit from this richness to collect and analyze documents, with the aim of a relational indexation based on noun phrases. Proposed data processing chain includes a spider collecting data to build textual corpora, and a linguistic module analyzing text to extract information. Comparison of obtained corpus with corpus from Amaryllis conference shows the linguistic diversity of collected corpora, and particularly the richness of extracted noun phrases.
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Mathias Géry, Mohamed Hatem Haddad, Dominique Vaufreydaz. Web as Huge Information Source for Noun Phrases Integration in the Information Retrieval Process. International Conference on Information and Knowledge Engineering (IKE'02), Jun 2002, Las Vegas - Nevada, United States. pp. 72-77. ⟨inria-00326405⟩

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