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AUGMENTED MUTUAL INFORMATION FOR MULTI-WORD EXTRACTION
Zhang, Wen1; Yoshida, Taketoshi1; Ho, Tu Bao1; Tang, Xijin2
2009-02-01
发表期刊INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL
ISSN1349-4198
卷号5期号:2页码:543-554
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.
关键词Multi-word extraction Mutual information Augmented mutual information Word dependency
语种英语
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
WOS类目Automation & Control Systems ; Computer Science, Artificial Intelligence
WOS记录号WOS:000263795500028
出版者ICIC INT
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/7440
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
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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.
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