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Sentence Ordering in Extractive MDS

  • Zengchang Zhang
  • Dexi Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4224)

Abstract

Ordering information is a critical task for multi-document summarization(MDS) because it heavily influent the coherence of the generated summary. In this paper, we propose a hybrid model for sentence ordering in extractive multi-document summarization that combines four relations between sentences – chronological relation, positional relation, topical relation and dependent relation. This model regards sentence as vertex and combined relation as edge of a directed graph on which the approximately optimal ordering can be generated with PageRank analysis. Evaluation of our hybrid model shows a significant improvement of the ordering over strategies losing some relations and the results also indicate that this hybrid model is robust for articles with different genre.

Keywords

Hybrid Model Dependent Relation Vertex Versus Text Structure Combine Relation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Zengchang Zhang
    • 1
  • Dexi Liu
    • 1
    • 2
  1. 1.School of PhysicsXiangfan UniversityXiangfanP.R. China
  2. 2.School of ComputerWuhan UniversityWuhanP.R. China

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