User-oriented text segmentation evaluation measure

  • Authors:
  • Martin Franz;J. Scott McCarley;Jian-Ming Xu

  • Affiliations:
  • IBM T. J. Watson Research Center, Yorktown Heights, NY;IBM T. J. Watson Research Center, Yorktown Heights, NY;IBM T. J. Watson Research Center, Yorktown Heights, NY

  • Venue:
  • SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 2007
  • Segmentation similarity and agreement

    NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

  • Getting more from segmentation evaluation

    NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

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Abstract

The paper describes a user oriented performance evaluation measure for text segmentation. Experiments show that the proposed measure differentiates well between error distributions with varying user impact.