A question answering system for french

Authors:
Laura Perret
Affiliations:
Institut interfacultaire d'informatique, University of Neuchâtel, Neuchâtel, Switzerland
Venue:
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Year:
2004

Citing 3
Cited 0

A stemming procedure and stopword list for general French corpora

Journal of the American Society for Information Science
Combining Multiple Strategies for Effective Monolingual and Cross-Language Retrieval

Information Retrieval
The SMART Retrieval System—Experiments in Automatic Document Processing

The SMART Retrieval System—Experiments in Automatic Document Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes our first participation in the QA@CLEF monolingual and bilingual task, where our objective was to propose a question answering system designed to respond to French queries searching French documents. We wanted to combine a classic information retrieval model (based on the Okapi probabilistic model) with a linguistic approach based mainly on syntactic analysis. In order to utilize our monolingual system in the bilingual task, we automatically translated into French queries written in seven other source languages, namely Dutch, German, Italian, Portuguese, Spanish, English and Bulgarian.