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

Fiche du document

Date

2007

Type de document
Périmètre
Langue
Identifiants
Collection

Archives ouvertes

Licence

info:eu-repo/semantics/OpenAccess




Citer ce document

Josiane Mothe et al., « Linguistic Analysis of Users' Queries: towards an adaptive Information Retrieval System », HAL-SHS : linguistique, ID : 10670/1.28n39x


Métriques


Partage / Export

Résumé En

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.

document thumbnail

Par les mêmes auteurs

Sur les mêmes sujets

Sur les mêmes disciplines

Exporter en