Predicting relevant news events for timeline summaries-Reference-Cited by-同舟云学术

Predicting relevant news events for timeline summaries

Published:2013 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 22nd International Conference on World Wide Web - WWW '13 Companion
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Author:

Binh Tran Giang¹,Alrifai Mohammad²,Quoc Nguyen Dat³

Affiliation:

1. L3S Research Center, Hannover, Germany

2. L3S Research Center & University of Hannover, Hannover, Germany

3. Vietnam National University Hanoi, Hanoi, Vietnam

Publisher

ACM Press

Reference7 articles.

1. J. Allan, R. Gupta, and V. Khandelwal. Temporal summaries of new topics. In Proceedings of SIGIR'01, pages 10--18, 2001.

2. H. L. Chieu and Y. K. Lee. Query based event extraction along a timeline. In Proceedings of SIGIR'04, pages 425--432, 2004.

3. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten. The weka data mining software: an update. SIGKDD Explor. Newsl., 11(1):10--18, 2009.

4. C.-Y. Lin and E. Hovy. Automatic evaluation of summaries using n-gram co-occurrence statistics. In Proceedings of NAACL'03 - Volume 1, pages 71--78, 2003.

5. R. Nelken and S. M. Shieber. Towards robust context-sensitive sentence alignment for monolingual corpora. In In 11th Conference of the European Chapter of the Association for Computational Linguistics, 2006.

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