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Reducing the annotation burden in text classification

Anastasia Krithara, Cyril Goutte, Amini Massih, Jean-Michel Renders
In this paper we describe a method which combines semi-supervised and active learning for the classification task. In particular, we propose a semi-supervised PLSA (Probabilistic latent semantic analysis) algorithm [4] combined with a certainty-based active learning method, in order to classify text documents.
Conference on Multidisciplinary Information Sciences and Technologies, InSciT2006, Mérida, Spain, October 25-28, 2006.
2006
2006/031