UYGHUR NAMED ENTITY IDENTIFICATION BASING ON MAXIMUM ENTROPY MODEL

被引：0
|
作者：
Yong, Yang [1 ]
Chun, Xu [1 ]
Awudan, Gulimire [1 ]
机构：
[1] Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Beijing 100864, Peoples R China
来源：
3RD INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND COMPUTER SCIENCE (ITCS 2011), PROCEEDINGS | 2011年
关键词：
uyghur named entity; maximum entropy model; feature;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：327 / 330
页数：4
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