DocumentCode
2709078
Title
Template Based Chinese News Event Summarization
Author
Ying Han ; Fang Li ; Kebin Liu ; Lei Liu
fYear
2006
fDate
1-3 Nov. 2006
Firstpage
53
Lastpage
53
Abstract
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.
Keywords
information resources; natural language processing; query processing; sensor fusion; word processing; automatic query-related news collection; event related information detection; information acquisition; information fusion technique; language model; online news collection; semantic meaning; template based Chinese news event summarization; word frequencies;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantics, Knowledge and Grid, 2006. SKG '06. Second International Conference on
Conference_Location
Guilin
Print_ISBN
0-7695-2673-X
Type
conf
DOI
10.1109/SKG.2006.102
Filename
5727690
Link To Document