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Crowdsourcing Word-Color Associations

Abstract : In Natural Language Processing and semantic analysis in particular, color information may be important for processing textual information. Knowing what colors are generally associated with terms by people is valuable. We explore how crowdsourcing through a game with a purpose (GWAP) can be an adequate strategy to collect such lexico-semantic data.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01713801
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Submitted on : Wednesday, January 29, 2020 - 5:36:17 PM
Last modification on : Wednesday, July 15, 2020 - 9:42:04 AM
Long-term archiving on: : Thursday, April 30, 2020 - 5:59:40 PM

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Mathieu Lafourcade, Nathalie Le Brun, Virginie Zampa. Crowdsourcing Word-Color Associations. NLDB: Natural Language Processing and Information Systems, Jun 2014, Montpellier, France. pp.39-44, ⟨10.1007/978-3-319-07983-7_5⟩. ⟨lirmm-01713801⟩

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