A Full Data-Driven System for Multiple Language Question Answering

Abstract. This paper describes a full data-driven system for question answering. The system uses pattern matching and statistical techniques to identify the relevant passages as well as the candidate answers for factoid and definition questions. Since it does not consider any sophisticated linguistic analysis of questions and answers, it can be applied to different languages without requiring major adaptation changes. Experimental results on Spanish, Italian and French demonstrate that the proposed approach can be a convenient strategy for monolingual and multilingual question answering.

• Type: Conference
• Year: 2005
• Where: CLEF
• Authors: Manuel Montes-y-Gómez, Luis Villaseñor Pineda, Manuel Alberto Pérez-Coutiño, José Manuel Gómez Soriano, Emilio Sanchis Arnal, Paolo Rosso
• Keywords: CLEF 2005, Multilingual Question Answering, Question Answering, Sophisticated Linguistic Analysis