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AUGMENTED MUTUAL INFORMATION FOR MULTI-WORD EXTRACTION
Zhang, Wen1; Yoshida, Taketoshi1; Ho, Tu Bao1; Tang, Xijin2
2009-02-01
Source PublicationINTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL
ISSN1349-4198
Volume5Issue:2Pages:543-554
AbstractIn 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.
KeywordMulti-word extraction Mutual information Augmented mutual information Word dependency
Language英语
Funding ProjectMinistry of Education, Culture, Sports, Science and Technology of Japan ; National Natural Science Foundation of China[70571078] ; National Natural Science Foundation of China[70221001]
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence
WOS IDWOS:000263795500028
PublisherICIC INT
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/7440
Collection中国科学院数学与系统科学研究院
Corresponding AuthorZhang, Wen
Affiliation1.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
Recommended Citation
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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