Development and use of a gold-standard data set for subjectivity classifications

  • Authors:
  • Janyce M. Wiebe;Rebecca F. Bruce;Thomas P. O'Hara

  • Affiliations:
  • New Mexico State University, Las Cruces, NM;University of North Carolina at Asheville, Asheville, NC;New Mexico State University, Las Cruces, NM

  • Venue:
  • ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
  • Year:
  • 1999

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Abstract

This paper presents a case study of analyzing and improving intercoder reliability in discourse tagging using statistical techniques. Bias-corrected tags are formulated and successfully used to guide a revision of the coding manual and develop an automatic classifier.