Rigor Mortis: Annotating MWEs with a Gamified Platform

Karën Fort; Bruno Guillaume; Yann-Alan Pilatte; Matthieu Constant; Nicolas Lefebvre

Rigor Mortis: Annotating MWEs with a Gamified Platform

Karën Fort, Bruno Guillaume, Yann-Alan Pilatte, Mathieu Constant, Nicolas Lefèbvre

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Abstract

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 that the speakers’ intuition is reasonably good (65% in recall on non-fixed MWE). We detail here the annotation results, after a training phase using some of the tests developed in the PARSEME-FR project.

Anthology ID:: 2020.lrec-1.541
Volume:: Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:: May
Year:: 2020
Address:: Marseille, France
Editors:: Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:: LREC
SIG:
Publisher:: European Language Resources Association
Note:
Pages:: 4395–4401
Language:: English
URL:: https://aclanthology.org/2020.lrec-1.541/
DOI:
Bibkey:
Cite (ACL):: Karën Fort, Bruno Guillaume, Yann-Alan Pilatte, Mathieu Constant, and Nicolas Lefèbvre. 2020. Rigor Mortis: Annotating MWEs with a Gamified Platform. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 4395–4401, Marseille, France. European Language Resources Association.
Cite (Informal):: Rigor Mortis: Annotating MWEs with a Gamified Platform (Fort et al., LREC 2020)
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PDF:: https://aclanthology.org/2020.lrec-1.541.pdf

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@inproceedings{fort-etal-2020-rigor,
    title = "Rigor Mortis: Annotating {MWE}s with a Gamified Platform",
    author = {Fort, Kar{\"e}n  and
      Guillaume, Bruno  and
      Pilatte, Yann-Alan  and
      Constant, Mathieu  and
      Lef{\`e}bvre, Nicolas},
    editor = "Calzolari, Nicoletta  and
      B{\'e}chet, Fr{\'e}d{\'e}ric  and
      Blache, Philippe  and
      Choukri, Khalid  and
      Cieri, Christopher  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Isahara, Hitoshi  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, H{\'e}l{\`e}ne  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2020.lrec-1.541/",
    pages = "4395--4401",
    language = "eng",
    ISBN = "979-10-95546-34-4",
    abstract = "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 that the speakers' intuition is reasonably good (65{\%} in recall on non-fixed MWE). We detail here the annotation results, after a training phase using some of the tests developed in the PARSEME-FR project."
}

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%0 Conference Proceedings
%T Rigor Mortis: Annotating MWEs with a Gamified Platform
%A Fort, Karën
%A Guillaume, Bruno
%A Pilatte, Yann-Alan
%A Constant, Mathieu
%A Lefèbvre, Nicolas
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Twelfth Language Resources and Evaluation Conference
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G eng
%F fort-etal-2020-rigor
%X 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 that the speakers’ intuition is reasonably good (65% in recall on non-fixed MWE). We detail here the annotation results, after a training phase using some of the tests developed in the PARSEME-FR project.
%U https://aclanthology.org/2020.lrec-1.541/
%P 4395-4401

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Markdown (Informal)

[Rigor Mortis: Annotating MWEs with a Gamified Platform](https://aclanthology.org/2020.lrec-1.541/) (Fort et al., LREC 2020)

Rigor Mortis: Annotating MWEs with a Gamified Platform (Fort et al., LREC 2020)

ACL

Karën Fort, Bruno Guillaume, Yann-Alan Pilatte, Mathieu Constant, and Nicolas Lefèbvre. 2020. Rigor Mortis: Annotating MWEs with a Gamified Platform. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 4395–4401, Marseille, France. European Language Resources Association.