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  1. Journal of Ambient Intelligence and Humanized Computing
  2. Journal of Ambient Intelligence and Humanized Computing : Volume 3
  3. Journal of Ambient Intelligence and Humanized Computing : Volume 3, Issue 4, December 2012
  4. TSGVi: a graph-based summarization system for Vietnamese documents
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Journal of Ambient Intelligence and Humanized Computing : Volume 8
Journal of Ambient Intelligence and Humanized Computing : Volume 7
Journal of Ambient Intelligence and Humanized Computing : Volume 6
Journal of Ambient Intelligence and Humanized Computing : Volume 5
Journal of Ambient Intelligence and Humanized Computing : Volume 4
Journal of Ambient Intelligence and Humanized Computing : Volume 3
Journal of Ambient Intelligence and Humanized Computing : Volume 3, Issue 4, December 2012
Advances in information and knowledge systems
TrustSets: using trust to detect deceitful agents in a distributed information collecting system
Design, information organisation and the evaluation of the Virtual Museum of the Pacific digital ecosystem
Cluster-based relevance feedback for CBIR: a combination of query point movement and query expansion
A meta-logical approach for reasoning with an OWL 2 ontology
TSGVi: a graph-based summarization system for Vietnamese documents
Quantitatively assessing the effects of regulatory factors on nucleosome dynamics by multiple kernel learning
Journal of Ambient Intelligence and Humanized Computing : Volume 3, Issue 3, September 2012
Journal of Ambient Intelligence and Humanized Computing : Volume 3, Issue 2, June 2012
Journal of Ambient Intelligence and Humanized Computing : Volume 3, Issue 1, March 2012
Journal of Ambient Intelligence and Humanized Computing : Volume 2
Journal of Ambient Intelligence and Humanized Computing : Volume 1

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TSGVi: a graph-based summarization system for Vietnamese documents

Content Provider Springer Nature Link
Author Nguyen Hoang, Tu Anh Nguyen, Khai Tran, Quang Vinh
Copyright Year 2012
Abstract This paper proposes an automatic method to generate an extractive summary of multiple Vietnamese documents which are related to a common topic by modeling text documents as weighted undirected graphs. It initially builds undirected graphs with vertices representing the sentences of documents and edges indicate the similarity between sentences. Then, by adopting PageRank algorithm, we can generate salient scores for sentences. Sentences are ranked according to their salient scores and selected based on maximal marginal relevance to form the summaries. These summaries are combined and applied the same process one more time to form the final extractive summary of the document set. A series of experiments are performed on Vietnamese news articles and English data of DUC 2002, 2003, 2007. The results demonstrate the effectiveness of the proposed technique over reference systems.
Starting Page 305
Ending Page 313
Page Count 9
File Format PDF
ISSN 18685137
Journal Journal of Ambient Intelligence and Humanized Computing
Volume Number 3
Issue Number 4
e-ISSN 18685145
Language English
Publisher Springer-Verlag
Publisher Date 2012-06-27
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Graph model Weighted PageRank Sentence extraction Multi-document summarization Vietnamese Artificial Intelligence (incl. Robotics) Robotics and Automation User Interfaces and Human Computer Interaction Computational Intelligence
Content Type Text
Resource Type Article
Subject Computer Science
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