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.
Original language | English |
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Title of host publication | SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval |
Pages | 631-632 |
Number of pages | 2 |
DOIs | |
Publication status | Published - 1 Dec 2005 |
Event | 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2005 - Salvador, Brazil Duration: 15 Aug 2005 → 19 Aug 2005 |
Conference
Conference | 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2005 |
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Country/Territory | Brazil |
City | Salvador |
Period | 15/08/05 → 19/08/05 |
Keywords
- event tracking
- topic detection and tracking
- topic tracking
ASJC Scopus subject areas
- Information Systems