Baoli Li
Wenjie Li
ABSTRACT
In this research, we focus on tracking topics that originate and evolve from a specific event. Intuitively, a few key elements of a target event, such as date, location, and persons involved, would be enough for making a decision on whether a test story is on-topic. Consequently, a profile-based event tracking method is proposed. We attempt to build an event profile from the given on-topic stories by robust information retrieval technologies. A feature selection metric and a recognized event clause are utilized to determine most (if not all) key semantic elements of the target event. Preliminary experiments on the TDT2 mandarin corpus show that this profile-based event tracking method is promising.
- James Allan (ed.). Topic Detection and Tracking: Event-based Information Organization. Kluwer Academic Publishers, Boston, MA, 2002. Google Scholar
Digital Library
- James Allan et. al. Flexible Intrinsic Evaluation of Hierarchical Clustering for TDT. In Proceedings of CIKM-03. New Orleans, LA, USA, 2003, 263--270. Google ScholarDigital Library
- NIST. The 2004 Topic Detection and Tracking (TDT2004) Task Definition and Evaluation Plan. Available at http://www.nist.gov/speech/tests/tdt/tdt2004/evalplan.htm.Google Scholar
Index Terms
- Profile-based event tracking
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