Linguistic Analysis of Users' Queries: towards an adaptive Information Retrieval System

Josiane Mothe (1, 2) , Ludovic Tanguy (3)

1 IRIT-SIG - Systèmes d’Informations Généralisées
2 UT2J - Université Toulouse - Jean Jaurès
3 CLLE-ERSS - Cognition, Langues, Langage, Ergonomie

Most of Information Retrieval Systems transform natural language users'queries into bags of words that are matched to documents also represented as bags of words. Through such process, the richness of the query is lost. In this paper we show that linguistic features of a query are good indicators to predict systems failure to answer it. The experiments are based on 42 systems or system variants and 50 TREC topics that consist of a descriptive part expressed in natural language.

Mots clés: Information Retrieval; Natural languages; Failure analysis

Domaines: Linguistique; Recherche d'information [cs.IR]; Traitement du texte et du document

Josiane Mothe, Ludovic Tanguy. Linguistic Analysis of Users' Queries: towards an adaptive Information Retrieval System. International Conference on SIGNAL-IMAGE TECHNOLOGY & INTERNET–BASED SYSTEMS, 2007, Shangai, China. pp.1. ⟨halshs-00287776⟩