XJIPC OpenIR  > 多语种信息技术研究室
uyghur named entity identification basing on maximum entropy model
Yong Yang; Chun Xu; Awudan Gulimire
2011
Conference Name3rd International Conference on Information Technology and Computer Science
Pages327-330
Conference DateJUL 23-24, 2011
Conference PlaceHuangshi, PEOPLES R CHINA
Publication PlaceTHREE PARK AVENUE, NEW YORK, NY 10016-5990 USA
Publisher3RD INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND COMPUTER SCIENCE (ITCS 2011), PROCEEDINGS
Abstract

Named entity identification is a fundamental task during natural language processing. This paper puts forward identification method of Uighur which is based on maximum entropy models. Maximum entropy model can make full use of various and arbitrary language features. The language features of Chinese and English generally only integrate part of speech, word forms and other information. This paper combines with the characteristics of Uighur and makes segmentation of Uighur words; it takes word stern and word affix information as characteristics and adds to the maximum entropy model. The results of experiment show that named entity identification accuracy, recall ratio and F value have been significantly enhanced in the proposed method.

Funding OrganizationHuazhong Univ Sci & Technol, Natl Tech Univ Ukraine, Harbin Inst Technol, Wuhan Univ, Huangshi Inst Technol, Res Assoc Modern Educ & Comp Sci
Document Type会议论文
Identifierhttp://ir.xjipc.cas.cn/handle/365002/2307
Collection多语种信息技术研究室
AffiliationChinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Beijing 100864, Peoples R China
Recommended Citation
GB/T 7714
Yong Yang,Chun Xu,Awudan Gulimire. uyghur named entity identification basing on maximum entropy model[C]. THREE PARK AVENUE, NEW YORK, NY 10016-5990 USA:3RD INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND COMPUTER SCIENCE (ITCS 2011), PROCEEDINGS,2011:327-330.
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