SemEval 2018 Task 2: multilingual emoji prediction

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dc.contributor.authorBarbieri, Francescoca
dc.contributor.authorCamacho-Collados, Joseca
dc.contributor.authorRonzano, Francescoca
dc.contributor.authorEspinosa-Anke, Luisca
dc.contributor.authorBallesteros, Miguelca
dc.contributor.authorBasile, Valerioca
dc.contributor.authorPatti, Vivianaca
dc.contributor.authorSaggion, Horacioca
dc.date.accessioned2018-07-24T09:51:29Z
dc.date.available2018-07-24T09:51:29Z
dc.date.issued2018
dc.descriptionComunicació presentada al 12th International Workshop on Semantic Evaluation (SemEval-2018), celebrat els dies 5 i 6 de juny de 2018 a Nova Orleans, EUA.
dc.description.abstractThis paper describes the results of the first shared task on Multilingual Emoji Prediction, organized as part of SemEval 2018. Given the text of a tweet, the task consists of predicting the most likely emoji to be used along such tweet. Two subtasks were proposed, one for English and one for Spanish, and participants were allowed to submit a system run to one or both subtasks. In total, 49 teams participated in the English subtask and 22 teams submitted a system run to the Spanish subtask. Evaluation was carried out emoji-wise, and the final ranking was based on macro F-Score. Data and further information about this task can be found at https://competitions. codalab.org/competitions/17344.en
dc.description.sponsorshipFrancesco B. and Horacio S. acknowledge support from the TUNER project (TIN2015-65308-C5-5-R, MINECO/FEDER, UE) and the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502). The work of V. Patti and V. Basile was partially funded by the IHatePrejudice project (S1618 L2 BOSC 01).
dc.format.mimetypeapplication/pdf
dc.identifier.citationBarbieri F, Camacho-Collados J, Ronzano F, Espinosa-Anke L, Ballesteros M, Basile V, Patti V, Saggion H. SemEval 2018 Task 2: multilingual emoji prediction. In: Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018); 2018 Jun 5-6; New Orleans, LA. Stroudsburg (PA): ACL; 2018. p. 24–33.
dc.identifier.urihttp://hdl.handle.net/10230/35250
dc.language.isoeng
dc.publisherACL (Association for Computational Linguistics)ca
dc.relation.ispartofProceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018); 2018 Jun 5-6; New Orleans, LA. Stroudsburg (PA): ACL; 2018. p. 24–33.
dc.relation.isreferencedbyhttps://github.com/fvancesco/Semeval2018-Task2-Emoji-Detection
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TIN2015-65308-C5-5-R
dc.rights© ACL, Creative Commons Attribution 4.0 License
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.otherTractament del llenguatge natural (Informàtica)
dc.titleSemEval 2018 Task 2: multilingual emoji predictionca
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/publishedVersion

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