Artstein, R. In: Maybury, M. Reidsma, D. Allwood, J. Pianesi, F. Wagner, H. Technical report. Kipp, M.
publication: 28 January © Association for Computational Linguistics coders c less one (see Artstein and Poesio  for a proof). B = A π e − A. publication: 28 January © Association for Computational Linguistics coders c less one (see Artstein and Poesio  for a proof). B = Aπ e − Aκ. Volume 34 Issue 4, December View colleagues of Massimo Poesio .
Massimo Poesio, Ron Artstein, The reliability of anaphoric.
AH Skip to main content. Allwood, J. Douglas-Cowie, E. Cavicchio, F.
Survey Article InterCoder Agreement for Computational Linguistics ACL Anthology
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[PDF] Survey Article InterCoder Agreement for Computational Linguistics Semantic Scholar
Anthology ID: J; Volume: Computational Linguistics, Volume 34, Number 4, December ; Month: Year: ; Address. This article is a survey of methods for measuring agreement among corpus annotators.
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It exposes the mathematics and underlying assumptions of agreement. Computational Linguistics 34, – ()CrossRefGoogle Scholar. 5. Artstein, R., Poesio, M.: Bias decreases in proportion to the number of annotators.
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Massimo Poesio. More details on these measures and their interpretations can be found in Artstein and Poesio (). Table presents the inter-annotator agreement for. Several inter-rater agreement measures exist (Artstein and Poesio, ).
All the inter-rater agreement measures have their strong points and their drawbacks.
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Abrilian, S. Hall, J. Woodworth, R. Cerrato, L. Cite chapter How to cite? Bielefeld University Google Scholar.