Text Annotator Bias Measure

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A Text Annotator Bias Measure is a Task Error Measure that measures the similarity of a Text Annotator Performance to a desired Task Performance Measure.



References

2008

2004

  • (Albert & Dodd, 2004) ⇒ Paul S. Albert and Lori E. Dodd. (2004). A Cautionary Note on the Robustness of Latent Class Models for Estimating Diagnostic Error without a Gold Standard. Biometrics, Vol. 60 (2004), pp. 427-435.

1999

  • (Wiebe et al., 1999) ⇒ Janyce M. Wiebe, Rebecca F. Bruce and Thomas P. O’Hara. (1999). Development and use of a goldstandard data set for subjectivity classifications. In: Proceedings of ACL-1999.

1979

  • (Dawid & Skene, 1979) ⇒ A. P. Dawid and A. M. Skene. 1979. Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm. Applied Statistics, Vol. 28, No. 1 (1979), pp. 20-28.