Profile-based event tracking

Baoli Li, Wenjie Li, Qin Lu, Mingli Wu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

11 Citations (Scopus)

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 languageEnglish
Title of host publicationSIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages631-632
Number of pages2
DOIs
Publication statusPublished - 1 Dec 2005
Event28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2005 - Salvador, Brazil
Duration: 15 Aug 200519 Aug 2005

Conference

Conference28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2005
Country/TerritoryBrazil
CitySalvador
Period15/08/0519/08/05

Keywords

  • event tracking
  • topic detection and tracking
  • topic tracking

ASJC Scopus subject areas

  • Information Systems

Cite this