Event-Based Summarization Using Critical Temporal Event Term Chain

  • Maofu Liu
  • Wenjie Li
  • Xiaolong Zhang
  • Ji Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5459)

Abstract

In this paper, we investigate whether temporal relations among event terms can help improve event-based summarization and text cohesion of final summaries. By connecting event terms with happens-before relations, we build a temporal event term graph for source documents. The event terms in the critical temporal event term chain identified from the maximal weakly connected component are used to evaluate the sentences in source documents. The most significant sentences are included in final summaries. Experiments conducted on the DUC 2001 corpus show that event-based summarization using the critical temporal event term chain is able to organize final summaries in a more coherent way and make improvement over the well-known tf*idf-based and PageRank-based summarization approaches.

Keywords

Event-Based Summarization Event Term Graph Temporal Event Term Chain Depth-First Search Algorithm 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Maofu Liu
    • 1
    • 2
  • Wenjie Li
    • 2
  • Xiaolong Zhang
    • 1
  • Ji Zhang
    • 2
  1. 1.College of Computer Science and TechnologyWuhan University of Science and TechnologyWuhanP.R. China
  2. 2.Department of ComputingThe Hong Kong Polytechnic University, KowloonHong Kong

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