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S.A. Lowe, “The Beta-Binomial Mixture Model and Its Application to TDT Tracking and Detection,” Proceedings of the DARPA Broadcast News Workshop, February 1999.

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• TITLE: Automatic Event Trigger Word Extraction in Chinese Event

  AUTHORS: Long Tian, Wen Ma, Wen Zhou

  KEYWORDS: Information extraction; Event, trigger word; Trigger word table; Machine learning

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.5 No.12B, January 25, 2013

  ABSTRACT: As a basic unit of knowledge representation and an important means for information organization, event has drawn growing number of people’s attention, the research of event identification and extraction in natural language processing field is an important research topic in information extraction area, the recognition and extraction of event trigger word plays a decisive role in event identification and extraction. In this paper, the authors make experiment in Chinese Event Corpus CEC, and present a method of extracting event trigger word automatically that combines extended trigger word table and machine learning. The experiment result shows that the F-score of extracting event trigger word. can reach 71.2% by using this method.