Semantic Similarity Measurement of Chinese Financial News Titles Based on Event Frame Extracting

2006 IEEE International Conference on e-Business Engineering (ICEBE'06) Pub Date : 2006-10-24 DOI:10.1109/ICEBE.2006.86

Ching-Hao Mao, Ta-Wei Hung, Jan-Ming Ho, Hahn-Ming Lee

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引用次数: 4

Abstract

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 titles 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

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基于事件框架提取的中文财经新闻标题语义相似度度量

中文财经新闻标题词汇较少，如果只比较所有的关键词，很难衡量标题之间的相似度。本文提出了一种基于构建事件框架结构作为中文财经新闻标题模板的中文财经新闻标题语义相似度度量方法。研究两个新闻标题的基本含义之间的关系，进行相似度度量。此外，利用语义相似度函数对财经新闻标题的事件框架关系和标题关键词之间的关系进行整合。在这种情况下，该方法可以通过事件框架将提及同一事件的中文财经新闻与所有其他中文财经新闻区分开来，因为它关注了两个新闻标题的基本含义之间的关系，减少了比较时间。结果表明，该方法提取的事件框架具有较高的精度，所提供的语义相似度度量能够突出两个新闻标题的内涵关系

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2006 IEEE International Conference on e-Business Engineering (ICEBE'06)

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