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
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;
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
DOI :
10.1109/DASC.2009.34
