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Abstract: This paper shows how a text classifier's need for labeled training documents can be reduced by taking advantage of a large pool of unlabeled documents. We modify the Query-by-Committee (QBC) method of active learning to use the unlabeled pool for explicitly estimating document density when selecting examples for labeling. Then active learning is combined with ExpectationMaximization in order to "fill in" the class labels of those documents that remain unlabeled. Experimental results show that... (Update)
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BibTeX entry: (Update)
Andrew McCallum and Kamal Nigam. Employing EM and pool-based active learning for text classification. In ICML-98, 1998. http://citeseer.comp.nus.edu.sg/68306.html More
@misc{ mccallum98employing,
author = "A. McCallum and K. Nigam",
title = "Employing EM and pool-based active learning for text classification",
text = "Andrew McCallum and Kamal Nigam. Employing EM and pool-based active learning
for text classification. In ICML-98, 1998.",
year = "1998",
url = "citeseer.comp.nus.edu.sg/68306.html" }
Citations (may not include all citations):376 Text categorization with Support Vector Machines: Learning w.. - Joachims - 1998
168 Distributional clustering of English words - Pereira, Tishby et al. - 1993
149 Learning to extract symbolic knowledge from the World Wide W.. - Craven, DiPasquo et al. - 1998
140 A comparison of event models for naive Bayes text classifica.. - McCallum, Nigam - 1998
135 A sequential algorithm for training text classifiers: Corrig.. - Lewis - 1995
130 A probabilistic analysis of the Rocchio algorithm with TFIDF.. - Joachims - 1997
111 Active learning with statistical models - Cohn, Ghahramani et al. - 1996
97 A comparison of two learning algorithms for text categorizat.. - Lewis, Ringuette - 1994
80 Learning to classify text from labeled and unlabeled documen.. - Nigam, McCallum et al. - 1998
77 Neural network exploration using optimal experiment design - Cohn - 1994
76 Supervised learning from incomplete data via an EM approach - Ghahramani, Jordan - 1994
38 Active learning with committees for text categorization (context) - Liere, Tadepalli - 1997
34 A mixture of experts classifier with learning based on both .. (context) - Miller, Uyar - 1997
25 The effect of unlabeled samples in reducing the small sample.. (context) - Shahshahani, Landgrebe - 1994
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2 the optimality of the simple Bayesian classifier under zero-.. (context) - from, via et al. - 1997
2 A sequential algorithm for training text classifiers (context) - ECML-, Gale - 1994
1 Committee-based sampling for training probabilistic classifi.. (context) - AAAI-, Engelson - 1995
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1 Data Mining and Knowledge Discovery (context) - using, by et al. - 1997
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