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Weighted Krippendorff’s alpha is a more reliable metrics for multi-coders ordinal annotations: experimental studies on emotion, opinion and coreference annotation

Jean-Yves Antoine, Jeanne Villaneau, Anaïs Lefeuvre


Anthology ID:
E14-1058
Volume:
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics
Month:
April
Year:
2014
Address:
Gothenburg, Sweden
Editors:
Shuly Wintner, Sharon Goldwater, Stefan Riezler
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
550–559
Language:
URL:
https://aclanthology.org/E14-1058
DOI:
10.3115/v1/E14-1058
Bibkey:
Cite (ACL):
Jean-Yves Antoine, Jeanne Villaneau, and Anaïs Lefeuvre. 2014. Weighted Krippendorff’s alpha is a more reliable metrics for multi-coders ordinal annotations: experimental studies on emotion, opinion and coreference annotation. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 550–559, Gothenburg, Sweden. Association for Computational Linguistics.
Cite (Informal):
Weighted Krippendorff’s alpha is a more reliable metrics for multi-coders ordinal annotations: experimental studies on emotion, opinion and coreference annotation (Antoine et al., EACL 2014)
Copy Citation:
PDF:
https://aclanthology.org/E14-1058.pdf