中国科学院新疆理化技术研究所机构知识库
Advanced  
XJIPC OpenIR  > 多语种信息技术研究室  > 会议论文
题名: uyghur named entity identification basing on maximum entropy model
作者: Yong Yang ; Chun Xu ; Awudan Gulimire
会议名称: 3rd International Conference on Information Technology and Computer Science
会议日期: JUL 23-24, 2011
出版日期: 2011
会议地点: Huangshi, PEOPLES R CHINA
出版者: 3RD INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND COMPUTER SCIENCE (ITCS 2011), PROCEEDINGS
出版地: THREE PARK AVENUE, NEW YORK, NY 10016-5990 USA
收录类别: istp
ISBN: 978-0-7918-5974-2
部门归属: Yong, Yang Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Beijing 100864, Peoples R China.
主办者: Huazhong Univ Sci & Technol, Natl Tech Univ Ukraine, Harbin Inst Technol, Wuhan Univ, Huangshi Inst Technol, Res Assoc Modern Educ & Comp Sci
英文摘要: 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.
语种: 英语
内容类型: 会议论文
URI标识: http://ir.xjipc.cas.cn/handle/365002/2307
Appears in Collections:多语种信息技术研究室_会议论文

Files in This Item:

There are no files associated with this item.


Recommended Citation:
Yong Yang;Chun Xu;Awudan Gulimire.uyghur named entity identification basing on maximum entropy model.见:3RD INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND COMPUTER SCIENCE (ITCS 2011), PROCEEDINGS.,THREE PARK AVENUE, NEW YORK, NY 10016-5990 USA,2011,327-330
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Yong Yang]'s Articles
[Chun Xu]'s Articles
[Awudan Gulimire]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Yong Yang]‘s Articles
[Chun Xu]‘s Articles
[Awudan Gulimire]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Powered by CSpace