On-line new event detection and tracking

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On-line new event detection and tracking

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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval table of contents

Melbourne, Australia

Pages: 37 - 45

Year of Publication: 1998

ISBN:1-58113-015-5

Authors

James Allan	Center for Intelligent Information Retrieval, Computer Science Department, University of Massachusetts, Amherst, MA
Ron Papka	Center for Intelligent Information Retrieval, Computer Science Department, University of Massachusetts, Amherst, MA
Victor Lavrenko	Center for Intelligent Information Retrieval, Computer Science Department, University of Massachusetts, Amherst, MA

Sponsors

University of Melbourne : University of Melbourne
SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 26, Downloads (12 Months): 292, Citation Count: 84

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REFERENCES

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	Yiming Yang , Jaime G. Carbonell , Ralf D. Brown , Thomas Pierce , Brian T. Archibald , Xin Liu, Learning Approaches for Detecting and Tracking News Events, IEEE Intelligent Systems, v.14 n.4, p.32-43, July 1999
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