Entropy as an indicator of context boundaries: an experiment using a web search engine

  • Authors:
  • Kumiko Tanaka-Ishii

  • Affiliations:
  • Graduate School of Information Science and Technology, University of Tokyo

  • Venue:
  • IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
  • Year:
  • 2005

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Abstract

Previous works have suggested that the uncertainty of tokens coming after a sequence helps determine whether a given position is at a context boundary. This feature of language has been applied to unsupervised text segmentation and term extraction. In this paper, we fundamentally verify this feature. An experiment was performed using a web search engine, in order to clarify the extent to which this assumption holds. The verification was applied to Chinese and Japanese.