Abstract
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.
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Noguera, E., Llopis, F., Ferrández, A. (2006). Passage Filtering for Open-Domain Question Answering. In: Salakoski, T., Ginter, F., Pyysalo, S., Pahikkala, T. (eds) Advances in Natural Language Processing. FinTAL 2006. Lecture Notes in Computer Science(), vol 4139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816508_53
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DOI: https://doi.org/10.1007/11816508_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37334-6
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