Clustering small-sized collections of short texts-Reference-Cited by-同舟云学术

Clustering small-sized collections of short texts

Published:2017-11-30 Issue:4 Volume:21 Page:273-306
ISSN:1386-4564
Container-title:Information Retrieval Journal
language:en
Short-container-title:Inf Retrieval J

Author:

Kotlerman Lili^ORCID,Dagan Ido,Kurland Oren

Funder

Israel Ministry of Industry, Trade and Labor

Israel Science Foundation

European Communitys Seventh Framework Programme

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Information Systems

Link

http://link.springer.com/article/10.1007/s10791-017-9324-8/fulltext.html

Reference60 articles.

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3. Aslam, J. A., Ekstrand-Abueg, M., Pavlu, V., Diaz, F., McCreadie, R., & Sakai, T. (2014). TREC 2014 temporal summarization track overview. In Proceedings of TREC.

4. Baker, L. D., & McCallum, A. K. (1998). Distributional clustering of words for text classification. In Proceedings of the 21st annual international ACM SIGIR conference on research and development in information retrieval (pp. 96–103). ACM (1998)

5. Barak, L., Dagan, I., & Shnarch, E. (2009). Text categorization from category name via lexical reference. In Proceedings of human language technologies: the 2009 annual conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers, NAACL-Short ’09 (pp. 33–36), Association for Computational Linguistics, Stroudsburg, PA, USA. http://dl.acm.org/citation.cfm?id=1620853.1620864

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