Abstract
In this paper, we present the PRODICOS query answering system which was developed by the TALN team from the LINA institute. We present the various modules constituting our system and for each of them the evaluation is shown. Afterwards, for each of them, the evaluation is put forward to justify the results obtained. Then, we present the main improvement based on the use of semantic data. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Monceaux, L., Jacquin, C., & Desmontils, E. (2006). The query answering system PRODICOS. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4022 LNCS, pp. 527–534). Springer Verlag. https://doi.org/10.1007/11878773_59
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