Abstract
Our bilingual QA system MUSCLEF, is based on QALC, the monolingual system with which we have participated in the previous TREC, where our best results were obtained when we combined the results of several searches. First, QALC searched a reliable document collection for answers, and second the WEB. We kept this strategy for CLEF, returning two runs. In the first one, we modified QALC so as to handle multilinguality by translating the terms identified in the question. In the second run, we combined the results of the first run with those obtained by first translating the question, then applying the full QALC strategy i.e. searching both the collection and the WEB. The final evaluation confirms the fact that the best results are obtained by combining different sources of information.
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© 2005 Springer-Verlag Berlin Heidelberg
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Grau, B. et al. (2005). Answering French Questions in English by Exploiting Results from Several Sources of Information. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds) Multilingual Information Access for Text, Speech and Images. CLEF 2004. Lecture Notes in Computer Science, vol 3491. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11519645_46
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DOI: https://doi.org/10.1007/11519645_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27420-9
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