DocumentCode
3098400
Title
Research of Summarization Extraction in Multiple Topics Document
Author
Liao, Tao ; Liu, Zongtian
Author_Institution
Sch. of Comput. Sci. & Eng., Anhui Univ. of Sci. & Technol., Huainan, China
fYear
2009
fDate
12-14 Dec. 2009
Firstpage
859
Lastpage
860
Abstract
This paper researches the technology of automatic summarization, and presents a method that extracts summarization in multiple topics document,which combines statistical model with document relationship map,and uses the algorithm of sub-topic community detection. The experimental results show that this method is more efficient for summarization extraction in multiple topics document.
Keywords
document handling; information retrieval; statistical analysis; automatic summarization technology; document relationship map; multiple topics document summarization extraction; statistical model; sub-topic community detection algorithm; Computer science; Detection algorithms; Electronic mail; Explosions; Internet; Kernel; Paper technology; Robustness; Statistics; automatic summarization; document relationship map; multiple topics document; statistical model; sub-topic community detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Dependable, Autonomic and Secure Computing, 2009. DASC '09. Eighth IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-0-7695-3929-4
Electronic_ISBN
978-1-4244-5421-1
Type
conf
DOI
10.1109/DASC.2009.34
Filename
5380582
Link To Document