@InProceedings{fort-EtAl:2018:W18-49,
  author    = {Fort, Karën  and  Guillaume, Bruno  and  Constant, Matthieu  and  Lefèbvre, Nicolas  and  Pilatte, Yann-Alan},
  title     = {"Fingers in the Nose": Evaluating Speakers’ Identification of Multi-Word Expressions Using a Slightly Gamified Crowdsourcing Platform},
  booktitle = {Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018)},
  month     = {August},
  year      = {2018},
  address   = {Santa Fe, New Mexico, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {207--213},
  abstract  = {This article presents the results we obtained in crowdsourcing French speakers’ intuition concerning multi-work expressions (MWEs). We developed a slightly gamified crowdsourcing platform, part of which is designed to test users’ ability to identify MWEs with no prior training. The participants perform relatively well at the task, with a recall reaching 65% for MWEs that do not behave as function words.},
  url       = {http://www.aclweb.org/anthology/W18-4923}
}