Paper Info
Title
Exploiting Conceptual Relations of Sentences for Multi-document Summarization.
Abstract
Multi-document Summarization becomes increasingly important in the age of big data. However, existing summarization systems do not or implicitly consider the conceptual relations of sentences. In this paper, we propose a novel method called Multi-document Summarization based on Explicit Semantics of Sentences (MDSES), which explicitly take conceptual relations of sentences into consideration. It is composed of three components: sentence-concept graph construction, concept clustering and summary generation. We first obtain sentence-concept semantic relation to construct a sentence-concept graph. Then we run graph weighting algorithm to get ranked weighted sentences and concepts. Besides, we obtain concept-concept semantic relation for concepts clustering to eliminate redundancy. Finally, we conduct summary generation to get informative summary. Experimental results on DUC dataset using ROUGE metrics demonstrate the good effectiveness of our methods.
Year
DOI
Venue
2015
10.1007/978-3-319-21042-1_51
WAIM
Keywords
Field
DocType
Multi-document summarization,Sentence-concept graph,Concept clustering,Summary generation
Data mining,Weighting,Computer science,Redundancy (engineering),Natural language processing,Artificial intelligence,Cluster analysis,Multi-document summarization,Automatic summarization,Ranking,Information retrieval,Big data,Semantics
Conference
Volume
ISSN
Citations 
9098
0302-9743
2
PageRank 
References 
Authors
0.39
3
4
Name
Order
Citations
PageRank
Zheng Hai-Tao114224.39
Gong Shu-Qin220.39
Guo Ji-Min320.39
Wu Wen-Zhen420.39