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17th International Conference on Pattern Recognition (ICPR'04) - Volume 2
Noisy Text Categorization
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
Alessandro Vinciarelli, Dalle Molle Institute for Perceptual Artificial Intelligence - IDIAP, Switzerland
This work presents a system for the categorization of noisy texts. By noisy it is meant any text obtained through an extraction process (affected by errors) from media different than digital texts. We show that, even with an average Word Error Rate of around 50%, the categorization performance loss with respect to the clean version of the same documents is negligible.
Citation:
Alessandro Vinciarelli, "Noisy Text Categorization," icpr, vol. 2, pp.554-557, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004
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