This paper studies the problem of filtering data in Passage Retrieval applied to Question Answering. Specifically, in this paper we have proved that the Mean-Value Theorem can play an important role to improve Question Answering. We have studied the way in which this theorem can be applied in order to produce a maximum data reduction without precision loss. In the experiments, we achieve a 90% data reduction without significant data loss. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Noguera, E., Llopis, F., & Ferrández, A. (2006). Passage filtering for open-domain question answering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4139 LNAI, pp. 534–540). Springer Verlag. https://doi.org/10.1007/11816508_53
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