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dc.contributor.author Barbieri, Francesco
dc.contributor.author Ronzano, Francesco
dc.contributor.author Saggion, Horacio
dc.date.accessioned 2018-02-05T08:53:18Z
dc.date.available 2018-02-05T08:53:18Z
dc.date.issued 2016
dc.identifier.citation Barbieri F, Ronzano F, Saggion H. EmoTwi50 [research data]. Repositori Digital de la UPF: Barcelona; 2016. Disponible a: http://hdl.handle.net/10230/33802
dc.identifier.uri http://hdl.handle.net/10230/33802
dc.description The dataset is a TSV (tab-separated) with five columns: the first two columns represent the codes of the pair of emojis evaluated, the third column their gold standard similarity, the fourth column their gold standard relatedness and the fifth column the average of the previous two values. Each row of the file represents the gold standard evaluation results of a pair of emojis. Remember that in order to retrieve the vectorial embedding corresponding to an emoji in our models, you need to add the token "eoji" before the emoji code.
dc.language.iso eng
dc.publisher Universitat Pompeu Fabra
dc.relation Publicació relacionada: Barbieri F, Ronzano F, Saggion H. What does this emoji mean? A vector space skip-gram model for twitter emojis. In: Calzolari N, Choukri K, Declerck T, et al, editors. Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016); 2016 May 23-28; Portorož, Slovenia. Paris: European Language Resources Association (ELRA); 2016. p.3967-72. http://hdl.handle.net/10230/33776
dc.relation.isreferencedby http://hdl.handle.net/10230/33776
dc.rights All these materials are frely available under Creative Commons CC BY 3.0
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.title EmoTwi50 [research data]
dc.type info:eu-repo/semantics/other
dc.type Dataset
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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