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Incorporating Cross-Document Relationships Between Sentences for Single Document Summarizations

  • Xiaojun Wan
  • Jianwu Yang
  • Jianguo Xiao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4172)

Abstract

Graph-based ranking algorithms have recently been proposed for single document summarizations and such algorithms evaluate the importance of a sentence by making use of the relationships between sentences in the document in a recursive way. In this paper, we investigate using other related or relevant documents to improve summarization of one single document based on the graph-based ranking algorithm. In addition to the within-document relationships between sentences in the specified document, the cross-document relationships between sentences in different documents are also taken into account in the proposed approach. We evaluate the performance of the proposed approach on DUC 2002 data with the ROUGE metric and results demonstrate that the cross-document relationships between sentences in different but related documents can significantly improve the performance of single document summarization.

Keywords

Latent Semantic Analysis Related Document Single Document Affinity Matrix Longe Common Subsequence 
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

  • Xiaojun Wan
    • 1
  • Jianwu Yang
    • 1
  • Jianguo Xiao
    • 1
  1. 1.Institute of Computer Science and TechnologyPeking UniversityBeijingChina

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