Noisy Text Categorization

Vinciarelli, A. (2004) Noisy Text Categorization. In: 17th International Conference on Pattern Recognition (ICPR'04), Cambridge UK, August 23-26, 2004, pp. 554-557. (doi: 10.1109/ICPR.2004.1334303)

Abstract

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.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Vinciarelli, Professor Alessandro
• Authors: Vinciarelli, A.
• College/School: College of Science and Engineering > School of Computing Science