Rigor Mortis: Annotating MWEs with a Gamified Platform - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2020

Rigor Mortis: Annotating MWEs with a Gamified Platform

Résumé

We present here Rigor Mortis, a gamified crowdsourcing platform designed to evaluate the intuition of the speakers, then train them to annotate multi-word expressions (MWEs) in French corpora. We previously showed (Fort et al., 2018) that the speakers' intuition is reasonably good (65% in recall on non-fixed MWE). After a training phase using some of the tests developed in the PARSEME-FR project, we obtain 0.685 in F-measure at an experimentally determined 25% threshold (number of players who annotated the same segment).
Fichier principal
Vignette du fichier
LREC2020_RM_finale.pdf (1.12 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02571466 , version 1 (12-05-2020)

Identifiants

  • HAL Id : hal-02571466 , version 1

Citer

Karën Fort, Bruno Guillaume, Yann-Alan Pilatte, Mathieu Constant, Nicolas Lefèbvre. Rigor Mortis: Annotating MWEs with a Gamified Platform. LREC 2020 - Language Resources and Evaluation Conference, May 2020, Marseille, France. ⟨hal-02571466⟩
150 Consultations
258 Téléchargements

Partager

More