Abstract. QRISTAL [9] is a question answering system making intensive use of natural language processing both for indexing documents and extracting answers. It ranked first in the EQueR evaluation campaign (Evalda, Technolangue [3]) and in CLEF 2005 for monolingual task (French-French) and multilingual task (English-French and Portuguese-French). This article describes the improvements of the system since last year. Then, it presents our benchmarked results for the CLEF 2006 campaign and a critical description of the system. Since Synapse Développement is participating to Quaero project, QRISTAL is most likely to be integrated in a mass market search engine in the forthcoming years.
A Question Answering (QA) system allows the user to ask questions in natural language and to obtain one or several answers. If compared with a classical IR engine like Google, what kind of key benefits QA bring to users and how to measure their distinctive performances. This is what we shall attempt here to determine, specially in providing a comparative weak and strong points table of each system, along with showing how QA systems, in particular our Qristal QA system, requires up two to six time less "user effort".
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