Paper: Development And Use Of A Gold-Standard Data Set For Subjectivity Classifications

ACL ID P99-1032
Title Development And Use Of A Gold-Standard Data Set For Subjectivity Classifications
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1999
Authors

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.