Document (#25035)

Author

Papka, R.
Allan, J.

Title

Topic detection and tracking : event clustering as a basis for first story detection

Source

Advances in information retrieval: Recent research from the Center for Intelligent Information Retrieval. Ed.: W.B. Croft

Imprint

Boston, MA : Kluwer Academic Publ.

Year

2000

Pages

S.97-126

Series

The Kluwer international series on information retrieval; 7

Abstract

Topic Detection and Tracking (TDT) is a new research area that investigates the organization of information by event rather than by subject. In this paper, we provide an overview of the TDT research program from its inception to the third phrase that is now underway. We also discuss our approach to two of the TDT problems in detail. For event clustering (Detection), we show that classic Information Retrieval clustering techniques can be modified slightly to provide effective solutions. For first story detection, we show that similar methods provide satisfactory results, although substantial work remains. In both cases, we explore solutions that model the temporal relationship between news stories. We also investigate the use of phrase extraction to capture the who, what, when, and where contained in news

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5. Carrick, C.; Watters, C.: Automatic association of news items (1997) 0.14

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