Improving effectiveness of mutual information for substantival multiword expression extraction
文献类型：期刊论文
| 作者 | Zhang, Wen1,3; Yoshida, Taketoshi1; Tang, Xijin2 ; Ho, Tu-Bao1
|
| 刊名 | EXPERT SYSTEMS WITH APPLICATIONS
 |
| 出版日期 | 2009-10-01 |
| 卷号 | 36期号:8页码:10919-10930 |
| 关键词 | Substantival multiword expression Mutual information Enhanced mutual information Collocation optimization EMICO |
| ISSN号 | 0957-4174 |
| DOI | 10.1016/j.eswa.2009.02.026 |
| 英文摘要 | One of the deficiencies of mutual information is its poor capacity to measure association of words with unsymmetrical co-occurrence, which has large amounts for multi-word expression in texts. Moreover, threshold setting, which is decisive for success of practical implementation of mutual information for multi-word extraction, brings about many parameters to be predefined manually in the process of extracting multiword expressions with different number of individual words. In this paper, we propose a new method as EMICO (Enhanced Mutual Information and Collocation Optimization) to extract substantival multiword expression from text. Specifically, enhanced mutual information is proposed to measure the association of words and collocation optimization is proposed to automatically determine the number of individual words contained in a multiword expression when the multiword expression occurs in a candidate set. Our experiments showed that EMICO significantly improves the performance of substantival multiword expression extraction in comparison with a classic extraction method based on mutual information. (C) 2009 Elsevier Ltd. All rights reserved. |
| 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 | Computer Science ; Engineering ; Operations Research & Management Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000267179500016 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/8563]  |
| 专题 | 系统科学研究所 |
| 通讯作者 | Zhang, Wen |
| 作者单位 | 1.Japan Adv Inst Sci & Technol, Sch Knowledge Sci, Ishikari, Hokkaido 9231292, Japan 2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100080, Peoples R China 3.Chinese Acad Sci, Inst Software, Lab Internet Software Technol, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Wen,Yoshida, Taketoshi,Tang, Xijin,et al. Improving effectiveness of mutual information for substantival multiword expression extraction[J]. EXPERT SYSTEMS WITH APPLICATIONS,2009,36(8):10919-10930. |
| APA | Zhang, Wen,Yoshida, Taketoshi,Tang, Xijin,&Ho, Tu-Bao.(2009).Improving effectiveness of mutual information for substantival multiword expression extraction.EXPERT SYSTEMS WITH APPLICATIONS,36(8),10919-10930. |
| MLA | Zhang, Wen,et al."Improving effectiveness of mutual information for substantival multiword expression extraction".EXPERT SYSTEMS WITH APPLICATIONS 36.8(2009):10919-10930. |
入库方式： OAI收割
来源：数学与系统科学研究院
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