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"Fingers in the Nose": Evaluating Speakers' Identification of Multi-Word Expressions Using a Slightly Gamified Crowdsourcing Platform

Karën Fort 1 Bruno Guillaume 2 Mathieu Constant 3 Nicolas Lefèbvre 4 Yann-Alan Pilatte 5
2 SEMAGRAMME - Semantic Analysis of Natural Language
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
4 KIWI - Knowledge Information and Web Intelligence
LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
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.
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https://hal.archives-ouvertes.fr/hal-01912706
Contributor : Karën Fort <>
Submitted on : Tuesday, November 6, 2018 - 10:16:04 AM
Last modification on : Thursday, March 5, 2020 - 6:36:53 PM
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  • HAL Id : hal-01912706, version 1

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Karën Fort, Bruno Guillaume, Mathieu Constant, Nicolas Lefèbvre, Yann-Alan Pilatte. "Fingers in the Nose": Evaluating Speakers' Identification of Multi-Word Expressions Using a Slightly Gamified Crowdsourcing Platform. Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018), Aug 2018, Santa Fe, United States. pp.207 - 213. ⟨hal-01912706⟩

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