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.
This work is a revised version of the paper “INAOE-UPV Joint Participation at CLEF 2005: Experiments in Monolingual Question Answering”, previously published in the CLEF 2005 working notes (www.clef-campaign.org/2005/working_notes/).
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Montes-y-Gómez, M., Villaseñor-Pineda, L., Pérez-Coutiño, M., Gómez-Soriano, J.M., Sanchís-Arnal, E., Rosso, P. (2006). A Full Data-Driven System for Multiple Language Question Answering. In: Peters, C., et al. Accessing Multilingual Information Repositories. CLEF 2005. Lecture Notes in Computer Science, vol 4022. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11878773_47
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DOI: https://doi.org/10.1007/11878773_47
Publisher Name: Springer, Berlin, Heidelberg
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