Semantic similarity measurement of chinese financial news titles based on event frame extracting

被引：0
|
作者：
Mao, Ching-Hao [1 ]
Hung, Ta-Wei [2 ]
Ho, Jan-Ming [2 ]
Lee, Hahn-Ming [1 ,2 ]
机构：
[1] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat, Taipei 106, Taiwan
[2] Acad Sinica, Inst Informat Sci, Taipei 115, Taiwan
来源：
ICEBE 2006: IEEE INTERNATIONAL CONFERENCE ON E-BUSINESS ENGINEERING, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The Chinese financial news titles has only few words so that it is hard for measuring the similarity between titles if compare all their keywords only. In this study, we proposed a method of semantic similarity measurement for Chinese financial news titles based on constructing the Event Frame structure as the template of a Chinese financial news title. It concerns the relation between the basic meanings of two news ttitles for similarity measurement. In addition, a semantic similarity function is used to integrate both the relation of Event Frames of the financial news titles and the relation between the keywords of these titles. In this matter, the proposed method can differentiate the Chinese financial news that mention the same event from all other Chinese financial news by the Event Frame, since it concerns the relation between the basic meanings of two news titles and reduces the comparing time. The result of this approach shows that the Event Frame extracting has high precision and the provided semantic similarity measurement can emphasize the relation between the connotations of two news titles.
引用
收藏
页码：229 / +
页数：2
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