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Building Document Graphs for Multiple News Articles Summarization: An Event-Based Approach

  • Wei Xu
  • Chunfa Yuan
  • Wenjie Li
  • Mingli Wu
  • Kam-Fai Wong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4285)

Abstract

Since most of news articles report several events and these events are referred in many related documents, we propose an event-based approach to visualize documents as graph on different conceptual granularities. With graph-based ranking algorithm, we illustrate the application of document graph to multi-document summarization. Experiments on DUC data indicate that our approach is competitive with state-of-the-art summarization techniques. This graphical representation which does not require training corpora can be potentially adapted to other languages.

Keywords

Event Element News Article Ranking Algorithm Document Graph Name Entity 
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

  • Wei Xu
    • 1
  • Chunfa Yuan
    • 1
  • Wenjie Li
    • 2
  • Mingli Wu
    • 2
  • Kam-Fai Wong
    • 3
  1. 1.Department of Computer Science and TechnologyTsinghua UniversityChina
  2. 2.Department of ComputingThe Hong Kong Polytechnic UniversityHong Kong
  3. 3.Department of System EngineeringThe Chinese University of Hong KongHong Kong

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