Automatic Event Trigger Word Extraction in Chinese Event

Long Tian, Wen Ma, Wen Zhou

School of Computer Engineering and Science, Shanghai University, Shanghai,China.

DOI: 10.4236/jsea.2012.512B040                

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.

Keywords

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

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	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.
[2]	ACE Pilot Study Task Definition［EB/OL］.［2007-09-28］. ftp://jaguar.ncsl.nist.gov/ace/phase1/edt_phase1_v2.2.pdf.
[3]	ACE-2 Evaluation Plan RDC Guidelines v2.3［EB/OL］.［2007-09-28］. ftp://jaguar.ncsl.nist.gov/ace/phase2/docs/RDC-Guidelines-v2.3.doc.
[4]	ACE2003 Evaluation Plan v1 ［EB/OL］.［2007-09-28］. ftp://jaguar.ncsl.nist.gov/ace/doc/ace_evalplan-2003.v1.pdf.
[5]	ACE2004 Evaluation Plan v7［EB/OL］.［2007-09-28］. http://www.nist.gov/speech/tests/ace/ace04/doc/ace04-evalplan-v7.pdf.
[6]	ACE2005 Evaluation Plan v3［EB/OL］.［2007-09-28］. http://www.nist.gov/speech/tests/ace/ace05/doc/ace05-evalplan.v3.pdf.
[7]	Zhao yanyan, et al., Chinese event extraction technology research, Journal of Chinese Information, vol. 22, pp. 3-8, 2008.
[8]	Liu zongtian, Huang meili, Zhou wen, Zhong zhaoman, Fujianfeng, Shan jianfang, Zhihui lai. Research on Event2oriented Ontology Model. Computer science,2009,36(11):189~192
[9]	Fu jianfeng, "Research on Event-Oriented Knowledge Processing," Shanghai university, 2010.
[10]	Fu jianfeng, et al., Dependency Parsing Based Event Recognition, Computer science , vol.36, pp. 217-219, 2009.
[11]	Consortium LD. ACE(Automatic Content Extraction) English Annotation Guidelines for Events. 2005.
[12]	Fu jianfeng, Event-based Chinese corpus annotation method, Invention patents, State Intellectual Property Office of the People's Republic of China, vol. AppNo.201010126360.8, 2010.
[13]	Mei jiaju,Zhu yiming. Tong yi ci cilin. Shanghai Dictionary Publishing House,1983.
[14]	http://www.ir-lab.org/.
[15]	H. John, Automatically acquiring a classification of words Paris：University of Leeds, 1994.
[16]	Zhang le, Maximum Entropy Modeling Toolkit for Python and C++, http://homepages.inf.ed.ac.uk/lzhang10/maxent_toolkit.html.
[17]	C.-C. C. a. C.-J. Lin, A Library for Support Vector Machines, http://www.csie.ntu.edu.tw/~cjlin/libsvm/