PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Reducing the Annotation Burden in Text Classification
Anastasia Krithara, Cyril Goutte, Massih Amini and Jean-Michel Renders
In: I International Conference on Multidisciplinay Information Sciences and Technologies (InSciT2006), 25-28 October 2006, Merida, Spain.

Abstract

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, combined with a pool-based active learning method, in order to classify text documents.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:2513
Deposited By:Anastasia Krithara
Deposited On:22 November 2006