Fiscus, J.
and Doddington, G.
(2002),
Topic Detection and Tracking Evaluation Overview, Topic Detection and Tracking: Event-Based Information Organization
(Accessed December 2, 2024)
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Topic Detection and Tracking Evaluation Overview
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Abstract
The objective of the Topic Detection and Tracking (TDT) program is to develop technologies that search, organize and structure multilingual, news oriented textual materials from a variety of broadcast news media. This research program uses controlled laboratory simulations of hypothetical systems to test the efficacy of potential technologies, to gauge research progress, and to provide a forum for the exchange of research information. This chapter introduces TDT's evaluation methodology including: the Linguistic Data Consortium's TDT corpora, evaluation metrics used in TDT and the five TDT research tasks: Topic Tracking, Link Detection, Topic Detection, First Story Detection, and Story Segmentation.Citation
Topic Detection and Tracking: Event-Based Information Organization
Pub Type
Journals
Keywords
document retrieval, first story detection, link detection, story segmentation, TDT, topic detection, topic detection and tracking, topic tracking
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Created February 1, 2002, Updated February 17, 2017