DocumentCode :
2040343
Title :
Multi-Document Summarization Using Clustering Algorithm
Author :
Ma, Xiao-Chen ; Yu, Gui-Bin ; Ma, Liang
Author_Institution :
Sch. of Mech. Eng., Tianjin Univ., Tianjin
fYear :
2009
fDate :
23-24 May 2009
Firstpage :
1
Lastpage :
4
Abstract :
This paper treat the query sentence as common sentence segmented from multi-documents set for multi-document summarization, and mixed it into sentences set, then this paper create efficient cluster algorithm to cluster all the sentences, The clusters which contain the query sentence will be merged to one cluster, and modified MMR will be used to extract summary sentences. Experimental result shows that the proposed cluster algorithm is efficient.
Keywords :
document handling; pattern clustering; clustering algorithm; multidocument summarization; query sentence; Clustering algorithms; Computer science; Data mining; Educational institutions; Filters; Flowcharts; Iterative algorithms; Kernel; Mechanical engineering; Petroleum;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
Type :
conf
DOI :
10.1109/IWISA.2009.5072965
Filename :
5072965
Link To Document :
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