PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

An extension of the Aspect PLSA Model to Active and Semi-supervised Learning for Text Classification
Anastasia Krithara, Massih Amini, Cyril Goutte and Jean-Michel Renders
In: 6th Hellenic Conference on Artificial Intelligence (SETN2010), 4-7 May 2010, Athens, Greece.

Abstract

In this paper, we address the problem of learning aspect models with partially labeled examples. We propose a method which benefits from both semi-supervised and active learning frameworks. In particular, we combine a semi-supervised extension of the PLSA algorithm with two active learning techniques. We perform experiments over four different datasets and show the effectiveness of the combination of the two frameworks.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:6234
Deposited By:Anastasia Krithara
Deposited On:08 March 2010