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An Element-based Model for Multi-document Summarization
RONG Nan *
Unit 93508, People's Liberaion Army
*Correspondence author
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Funding: none
Opened online:28 March 2016
Accepted by: none
Citation: RONG Nan.An Element-based Model for Multi-document Summarization[OL]. [28 March 2016] http://en.paper.edu.cn/en_releasepaper/content/4681685
 
 
The increasing availability of online information has necessitated intensive research in the area of automatic text summarization. In this paper, we propose an element-based model for multi-document summarization. First, we propose to model sentences from perspective of five major elements. Second, we cluster words according to their similarity computed through Word Affinity Force model. Third we propose a novelty detection algorithm to select sentences for summary. The experiment on the real-world data shows that the proposed model can find the key points of a document and generate fluent sentences.
Keywords:signal and information processing; element-based model; multi-document summarization; clustering; word afiinity force;
 
 
 

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