Title :
Linguistic Analysis of Users´ Queries: Towards an Adaptive Information Retrieval System
Author :
Mothe, Josiane ; Tanguy, Ludovic
Author_Institution :
Inst. de Rech. en Inf. de Toulouse, Univ. de Toulouse, Toulouse
Abstract :
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 described here are based on 42 systems or system variants and 50 TREC topics that consist of a descriptive part expressed in natural language.
Keywords :
information retrieval systems; linguistics; natural language processing; TREC topics; adaptive information retrieval system; linguistic analysis; natural language user queries; Adaptive systems; Frequency; Indexing; Information analysis; Information retrieval; Internet; Natural languages; Probability; Signal analysis; System performance; adaptive system; information retrieval; linguistic analysis;
Conference_Titel :
Signal-Image Technologies and Internet-Based System, 2007. SITIS '07. Third International IEEE Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3122-9
DOI :
10.1109/SITIS.2007.81
