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 (1) , Jeanne Villaneau (2) , Anaïs Lefeuvre (3)

1 LIFAT - Laboratoire d'Informatique Fondamentale et Appliquée de Tours
2 SEASIDE - SEarch, Analyze, Synthesize and Interact with Data Ecosystems
3 LaBRI - Laboratoire Bordelais de Recherche en Informatique

The question of data reliability is of first importance to assess the quality of manually annotated corpora. Although Cohen ' s κ is the prevailing reliability measure used in NLP, alternative statistics have been proposed. This paper presents an experimental study with four measures (Cohen's κ, Scott's π, binary and weighted Krippendorff ' s α) on three tasks: emotion, opinion and coreference annotation. The reported studies investigate the factors of influence (annotator bias, category prevalence, number of coders, number of categories) that should affect reliability estimation. Results show that the use of a weighted measure re- stricts this influence on ordinal annotations. They suggest that weighted α is the most reliable metrics for such an annotation scheme.

Mots clés: Inter-coder agreement; reliability measures.; reliability measures

Domaines: Informatique et langage [cs.CL]

Jean-Yves Antoine, Jeanne Villaneau, Anaïs Lefeuvre. Weighted Krippendorff's alpha is a more reliable metrics for multi- coders ordinal annotations: experimental studies on emotion, opinion and coreference annotation.. EACL 2014, Apr 2014, Gotenborg, Sweden. 10 p. ⟨hal-00998303⟩