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%A Cyril Goutte %T Fast & Confident Probabilistic Categorization %X We describe NRC's submission to the Anomaly Detection/Text Mining competition organised at the Text Mining Workshop 2007. This submission relies on a straightforward implementation of the probabilistic categoriser described in (Gaussier et al., ECIR'02). This categoriser is adapted to handle multiple labelling and a piecewise-linear confidence estimation layer is added to provide an estimate of the labelling confidence. This technique achieves a score of 1.689 on the test data. %D 2007 %K Text categorization, probabilistic model, confidence estimation, multi-label categorization, category description %L cogprints5626