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A server for real-time event tracking in news

Published:18 March 2001Publication History

ABSTRACT

As the flood of information continues to grow, it becomes ever more necessary to extract just the portion of the flow which is of interest to each user. The Topic Detection and Tracking (TDT) project [1, 3, 6, 5] addressed and continues to address this need, but has been of necessity applied in a batch-processing context on a static collection. What is required for topic detection and tracking to be of utility to end-users is a real-time system which operates on a live stream of information. This paper describes the extension and modification of a batch-oriented tracking system into a real-time server for event detection, event tracking, document summarization, and translation.

References

  1. J. Allan, J. G. Carbonell, G. Doddington, J. Yamron, and Y. Yang. Topic Detection and Tracking Pilot Study Final Report. In Proceedings of the DARPA Broadcast News Transcription and Understranding Workshop, Feb 1998.]]Google ScholarGoogle Scholar
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  3. J. Carbonell, Y. Yang, J. Lafferty, R. D. Brown, T. Pierce, and X. Liu. CMU report on TDT-2: Segmentation, Detection and Tracking. In Proceedings of the DARPA Broadcast News Workshop, pages 117--120, San Francisco, CA, 1999. Morgan Kaufmann Publishers, Inc.]]Google ScholarGoogle Scholar
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  6. Y. Yang, J. Carbonell, R. D. Brown, T. Pierce, B. T. Archibald, and X. Liu. Learning Approaches for Detecting and Tracking News Events. IEEE Intelligent Systems, 14(4):32--43, July/August 1999. Special Issue on Applications of Intelligent Information Retrieval.]] Google ScholarGoogle ScholarDigital LibraryDigital Library

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  • Published in

    cover image DL Hosted proceedings
    HLT '01: Proceedings of the first international conference on Human language technology research
    March 2001
    375 pages

    Publisher

    Association for Computational Linguistics

    United States

    Publication History

    • Published: 18 March 2001

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    Overall Acceptance Rate240of768submissions,31%
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