LREC 2000 - Papers

LREC 2000 2^nd International Conference on Language Resources & Evaluation

Conference Papers

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Title Enhancing the TDT Tracking Evaluation

Authors Bagga Amit (GE Corporate Research and Development, 1 Research Circle, Niskayuna, NY 12309. USA, bagga@crd.ge.com)

Keywords Evaluation, TDT, Topic Tracking

Session Session EP1 - Evaluation and Written Area

Abstract Topic Detection and Tracking (TDT) is a DARPA-sponsored initiative concerned with finding groups of stories on the same topic (tdt, 1998). The goal is to build systems that can segment, detect, and track incoming news stories (possibly from multiple continuous feeds) with respect to pre-defined topics. While the detection task detects the first story on a particular topic, the tracking task determines, for each story, which topic it is relevant to. This paper will discuss the algorithm currently used for evaluating systems for the tracking task, present some of its limitation, and propose a new algorithm that enhances the current evaluation.

Title	Enhancing the TDT Tracking Evaluation
Authors	Bagga Amit (GE Corporate Research and Development, 1 Research Circle, Niskayuna, NY 12309. USA, bagga@crd.ge.com)
Keywords	Evaluation, TDT, Topic Tracking
Session	Session EP1 - Evaluation and Written Area
Abstract	Topic Detection and Tracking (TDT) is a DARPA-sponsored initiative concerned with finding groups of stories on the same topic (tdt, 1998). The goal is to build systems that can segment, detect, and track incoming news stories (possibly from multiple continuous feeds) with respect to pre-defined topics. While the detection task detects the first story on a particular topic, the tracking task determines, for each story, which topic it is relevant to. This paper will discuss the algorithm currently used for evaluating systems for the tracking task, present some of its limitation, and propose a new algorithm that enhances the current evaluation.