中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
AUGMENTED MUTUAL INFORMATION FOR MULTI-WORD EXTRACTION

文献类型:期刊论文

作者Zhang, Wen1; Yoshida, Taketoshi1; Ho, Tu Bao1; Tang, Xijin2
刊名INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL
出版日期2009-02-01
卷号5期号:2页码:543-554
关键词Multi-word extraction Mutual information Augmented mutual information Word dependency
ISSN号1349-4198
英文摘要In order to extract multi-words from documents, mutual information (MI), as a statistical method, is the most popular solution under consideration. However, there are two kinds of deficiencies inherent in MI. One is the problem of unilateral co-occurrence, and the other is rare occurrence problem. To attack these two problems, augmented mutual information (AMI) is proposed in this paper to measure word dependency for multi-word extraction. We prove theoretically that AMI has the capacity to approximate MI to capture the independency of individual words, but it will amplify the significance of dependent individual words which may be possible multi-words. And our experimental results on Chinese multi-word extraction demonstrate that AMI method has superior performance to traditional MI method.
资助项目Ministry of Education, Culture, Sports, Science and Technology of Japan ; National Natural Science Foundation of China[70571078] ; National Natural Science Foundation of China[70221001]
WOS研究方向Automation & Control Systems ; Computer Science
语种英语
WOS记录号WOS:000263795500028
出版者ICIC INT
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/7439]  
专题中国科学院数学与系统科学研究院
通讯作者Zhang, Wen
作者单位1.Japan Adv Inst Sci & Technol, Sch Knowledge Sci, Nomi, Ishikawa 9231292, Japan
2.Chinese Acad Sci, Inst Syst Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Wen,Yoshida, Taketoshi,Ho, Tu Bao,et al. AUGMENTED MUTUAL INFORMATION FOR MULTI-WORD EXTRACTION[J]. INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL,2009,5(2):543-554.
APA Zhang, Wen,Yoshida, Taketoshi,Ho, Tu Bao,&Tang, Xijin.(2009).AUGMENTED MUTUAL INFORMATION FOR MULTI-WORD EXTRACTION.INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL,5(2),543-554.
MLA Zhang, Wen,et al."AUGMENTED MUTUAL INFORMATION FOR MULTI-WORD EXTRACTION".INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 5.2(2009):543-554.

入库方式: OAI收割

来源:数学与系统科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。