DocumentCode :
2545072
Title :
Multi-document summarization based on rhetorical structure: Sentence extraction and evaluation
Author :
Yong-dong, Xu ; Xiao-long, Wang ; Tao, Liu ; Zhi-ming, Xu
Author_Institution :
Harbin Inst. of Technol., Harbin
fYear :
2007
fDate :
7-10 Oct. 2007
Firstpage :
3034
Lastpage :
3039
Abstract :
A Multi-document Rhetorical Structure (MRS) is proposed for multi-document automatic summarization task. This structure can represent interrelationship between text units at different levels of granularity and can describe simultaneously the happen and change of various events. MRS simplify traditional multi-document representation in cross structure theory and supplement change and distribution information of events topics which cannot be obtained in information fusion theory. Concretely, a series of algorithms including building MRS, multi-document information fusion based MRS and summarization generation are proposed. The capability of concurrently fuse multiple knowledge sources of MRS strategies is testified by sets of experiments and shows good result.
Keywords :
text analysis; cross structure theory; information fusion theory; multidocument automatic summarization task; multidocument information fusion; multidocument representation; multidocument rhetorical structure; multidocument summarization; sentence evaluation; sentence extraction; summarization generation; Buildings; Computer science; Data mining; Data structures; Fuses; Fusion power generation; Internet; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
Type :
conf
DOI :
10.1109/ICSMC.2007.4413925
Filename :
4413925
Link To Document :
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