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IEEE International Conference on e-Business Engineering (ICEBE'06)
Semantic Similarity Measurement of Chinese Financial News Titles Based on Event Frame Extracting
Shanghai, China
October 24-October 26
ISBN: 0-7695-2645-4
ASCII Text
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Ching-Hao Mao, Ta-Wei Hung, Jan-Ming Ho, Hahn-Ming Lee, "Semantic Similarity Measurement of Chinese Financial News Titles Based on Event Frame Extracting," E-Business Engineering, IEEE International Conference on, pp. 229-236, IEEE International Conference on e-Business Engineering (ICEBE'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICEBE.2006.86,
author = {Ching-Hao Mao and Ta-Wei Hung and Jan-Ming Ho and Hahn-Ming Lee},
title = {Semantic Similarity Measurement of Chinese Financial News Titles Based on Event Frame Extracting},
journal ={E-Business Engineering, IEEE International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2645-4},
pages = {229-236},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICEBE.2006.86},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - E-Business Engineering, IEEE International Conference on
TI - Semantic Similarity Measurement of Chinese Financial News Titles Based on Event Frame Extracting
SN - 0-7695-2645-4
SP229
EP236
A1 - Ching-Hao Mao,
A1 - Ta-Wei Hung,
A1 - Jan-Ming Ho,
A1 - Hahn-Ming Lee,
PY - 2006
KW - null
VL - 0
JA - E-Business Engineering, IEEE International Conference on
ER -
 
Ching-Hao Mao, National Taiwan University of Science and Technology, Taipei 106, Taiwan
Ta-Wei Hung, Institute of Information Science, Academia Sinica. Taipei 115, Taiwan
Jan-Ming Ho, Institute of Information Science, Academia Sinica. Taipei 115, Taiwan
Hahn-Ming Lee, Institute of Information Science, Academia Sinica. Taipei 115, Taiwan
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.
Citation:
Ching-Hao Mao, Ta-Wei Hung, Jan-Ming Ho, Hahn-Ming Lee, "Semantic Similarity Measurement of Chinese Financial News Titles Based on Event Frame Extracting," icebe, pp.229-236, IEEE International Conference on e-Business Engineering (ICEBE'06), 2006
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