Taking Topic Detection From Evaluation to Practice

Authors:
James Allan;Stephen Harding;David Fisher;Alvaro Bolivar;Sergio Guzman-Lara;Peter Amstutz
Affiliations:
University of Massachusetts Amherst;University of Massachusetts Amherst;University of Massachusetts Amherst;University of Massachusetts Amherst;University of Massachusetts Amherst;University of Massachusetts Amherst
Venue:
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 4 - Volume 04
Year:
2005

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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.