Abstract
This report presents the work carried out at NLE Lab for the QA@CLEF-2009 competition. We used the JIRS passage retrieval system, which is based on redundancy, with the assumption that it is possible to find the response to a question in a large enough document collection. The retrieved passages are ranked depending on the number, length and position of the question n-gram structures found in the passages. The best results were obtained in monolingual English, while the worst results were obtained for French. We suppose the difference is due to the question style that varies considerably from one language to another. © 2010 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Correa, S., Buscaldi, D., & Rosso, P. (2010). NLEL-MAAT at ResPubliQA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6241 LNCS, pp. 223–228). https://doi.org/10.1007/978-3-642-15754-7_24
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