Title :
Semantic Similarity Measurement of Chinese Financial News Titles Based on Event Frame Extracting
Author :
Mao, Ching-Hao ; Hung, Ta-Wei ; Ho, Jan-Ming ; Lee, Hahn-Ming
Author_Institution :
Dept. of Comput. Sci. & Inf., National Taiwan Univ. of Sci. & Technol., Taipei
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
Keywords :
financial data processing; information retrieval; natural language processing; Chinese financial news titles; event frame extracting; semantic similarity measurement; Artificial intelligence; Computational linguistics; Computer industry; Computer science; Data mining; Information retrieval; Information science; Natural language processing; Ontologies; Time measurement;
Conference_Titel :
e-Business Engineering, 2006. ICEBE '06. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7695-2645-4
DOI :
10.1109/ICEBE.2006.86
