A top-down information theoretic word clustering algorithm for phrase recognition-Reference-Cited by-同舟云学术

A top-down information theoretic word clustering algorithm for phrase recognition

Published:2014-08 Issue: Volume:275 Page:213-225
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Wu Yu-Chieh

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference53 articles.

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3. L.D. Baker, A.K. McCallum, Distributional clustering of words for text classification, in: Proceedings of 21st Annual International ACM SIGIR, 1998, pp. 96–103.

4. R. Bekkerman, R. Ei-Yaniv, N. Tishby, Y. Winter, On the feature distributional clustering for text categorization, in: Proceedings of 24th ACM SIGIR Conference on Research & Development on Information Retrieval, Location, 2001, pp. 146–153.

5. A. Blum, T. Mitchell, Combining labeled and unlabeled data with co-training, in: Proceedings of Conference on Learning Theory, 1998, pp. 92–100.

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