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  • 标题:The Kappa Statistic: A Second Look
  • 本地全文:下载
  • 作者:Barbara Di Eugenio ; Michael Glass
  • 期刊名称:Computational Linguistics
  • 印刷版ISSN:0891-2017
  • 电子版ISSN:1530-9312
  • 出版年度:2004
  • 卷号:30
  • 期号:1
  • 页码:95-101
  • DOI:10.1162/089120104773633402
  • 语种:English
  • 出版社:MIT Press
  • 摘要:In recent years, the kappa coefficient of agreement has become the de facto standard for evaluating intercoder agreement for tagging tasks. In this squib, we highlight issues that affect κ and that the community has largely neglected. First, we discuss the assumptions underlying different computations of the expected agreement component of κ. Second, we discuss how prevalence and bias affect the κ measure.
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