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Second International Conference on Semantics, Knowledge, and Grid (SKG'06)
Template Based Chinese News Event Summarization
Guilin, Guangxi, China
November 01-November 03
ISBN: 0-7695-2673-X
Ying Han, Shanghai Jiaotong University, China
Fang Li, Shanghai Jiaotong University, China
KeBin Liu, Shanghai Jiaotong University, China
Lei Liu, Shanghai Jiaotong University, China
Summarization can facilitate users to acquire large amount of information. This paper introduces a Chinese news events summarization system based on a predefined template. The system automatically collects query-related news online, applies Language model to detect event related information, calculates word frequencies based on semantic meaning and uses information fusion techniques to merge the results. After experiments on 50 events, the system can achieve the average of 82.1% precision based on human judgment.
Citation:
Ying Han, Fang Li, KeBin Liu, Lei Liu, "Template Based Chinese News Event Summarization," skg, pp.53, Second International Conference on Semantics, Knowledge, and Grid (SKG'06), 2006
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