DocumentCode
2412570
Title
Taking Topic Detection From Evaluation to Practice
Author
Allan, James ; Harding, Stephen ; Fisher, David ; Bolivar, Alvaro ; Guzman-Lara, Sergio ; Amstutz, Peter
Author_Institution
University of Massachusetts Amherst
fYear
2005
fDate
03-06 Jan. 2005
Abstract
The Topic Detection and Tracking (TDT) research community investigates information retrieval methods for organizing a constantly arriving stream of news articles by the events that they discuss. Our best system for the open evaluations of TDT has used an approach that turned out to be problematic when the cluster detection technology was deployed in a real world setting. To avoid generating "garbage" clusters, we had to revert to a different approach and to explore engineering solutions that were not motivated by the model. Our experiences also led us to propose extensions to the formal TDT evaluation.
Keywords
Clustering algorithms; Computer science; Cost function; Error correction; Event detection; Failure analysis; Information retrieval; NIST; Organizing; Performance evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
System Sciences, 2005. HICSS '05. Proceedings of the 38th Annual Hawaii International Conference on
ISSN
1530-1605
Print_ISBN
0-7695-2268-8
Type
conf
DOI
10.1109/HICSS.2005.576
Filename
1385440
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