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Crowdsourcing Word-Color Associations
Acte de colloque   Open Access

Crowdsourcing Word-Color Associations

Mathieu Lafourcade, Nathalie Le Brun et Virginie Zampa
19th International Conference on Applications of Natural Language to Information Systems, Vol.LNCS(8455), pp.39-44
NLDB: Natural Language Processing and Information Systems (Montpellier, France, 18/06/2014–20/06/2014)
2014

Résumé

Word Color Associations
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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