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Research on Topic Link Detection Method Based on Semantic Domain

  • Pei-Yu Liu
  • Yu-Zhen Yang
  • Shao-Dong Fei
  • Zhen Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8351)

Abstract

Topic Link Detection aims to detect whether a pair of random stories discuss the same topic, which is an important subtask of Topic Detection and Tracking. In previous works, statistical method and machine-learning approach are used more often than not, however, the semantic distribution of a story and the structure relationship of contents are ignored. A new method based on the semantic domain is proposed for the purpose of improved the precision. In this method, every story is divided some semantic domain through analyzing internal semantic distribution and structure relationships of contexts. The results of experiment proved that the proposed method can improve performance of system.

Keywords

topic link detection semantic domain topic model 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Pei-Yu Liu
    • 1
    • 2
  • Yu-Zhen Yang
    • 1
    • 2
  • Shao-Dong Fei
    • 1
    • 3
  • Zhen Zhang
    • 1
    • 2
  1. 1.School of Information Science and EngineeringShandong Normal UniversityShandongChina
  2. 2.Shandong Provincial Key Laboratory for Distributed Computer Software Novel TechnologyShandong Province, JinanChina
  3. 3.Shandong University of Finance and EconomicsShandong, JinanChina

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