DocumentCode :
3423063
Title :
A Novel Approach to Multi-document Summarization
Author :
Qiu, Li-Qing ; Pang, Bin ; Lin, Sai-Qun ; Chen, Peng
Author_Institution :
Beihang Univ., Beijing
fYear :
2007
fDate :
3-7 Sept. 2007
Firstpage :
187
Lastpage :
191
Abstract :
In the paper we have studied the application of document sets categorization and different features combination in the summarization. The most important work is that we implement an improved extractive summarizer, which analyzes the document sets and decides the categories of the documents using different summarization strategies. The novel summarizer with categorization has confirmed better than summarizer without categorization.
Keywords :
document handling; feature extraction; document sets categorization; extractive summarizer; features combination; multidocument summarization; summarization strategies; Application software; Data mining; Expert systems; Fires; Machine learning; Pipelines; Programming; Solar power generation; Spatial databases; Training data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications, 2007. DEXA '07. 18th International Workshop on
Conference_Location :
Regensburg
ISSN :
1529-4188
Print_ISBN :
978-0-7695-2932-5
Type :
conf
DOI :
10.1109/DEXA.2007.32
Filename :
4312883
Link To Document :
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