SemEval 2018 Task 2: multilingual emoji prediction

dc.contributor.author
Barbieri, Francesco
dc.contributor.author
Camacho-Collados, Jose
dc.contributor.author
Ronzano, Francesco
dc.contributor.author
Espinosa-Anke, Luis
dc.contributor.author
Ballesteros, Miguel
dc.contributor.author
Basile, Valerio
dc.contributor.author
Patti, Viviana
dc.contributor.author
Saggion, Horacio
dc.date.issued
2018-07-24T09:51:29Z
dc.date.issued
2018-07-24T09:51:29Z
dc.date.issued
2018
dc.identifier
Barbieri 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
http://hdl.handle.net/10230/35250
dc.description.abstract
Comunicació 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.abstract
This 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.
dc.description.abstract
Francesco 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
application/pdf
dc.format
application/pdf
dc.language
eng
dc.publisher
ACL (Association for Computational Linguistics)
dc.relation
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.relation
https://github.com/fvancesco/Semeval2018-Task2-Emoji-Detection
dc.relation
info:eu-repo/grantAgreement/ES/1PE/TIN2015-65308-C5-5-R
dc.rights
© ACL, Creative Commons Attribution 4.0 License
dc.rights
http://creativecommons.org/licenses/by/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Tractament del llenguatge natural (Informàtica)
dc.title
SemEval 2018 Task 2: multilingual emoji prediction
dc.type
info:eu-repo/semantics/conferenceObject
dc.type
info:eu-repo/semantics/publishedVersion


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