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SemEval 2018 Task 2: Multilingual Emoji Prediction
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Barbieri, Francesco; Camacho-Collados, Jose; Ronzano, Francesco; Espinosa Anke, Luis; Ballesteros, Miguel; Basile, Valerio; Patti, Viviana; Saggion, Horacio. - : Association for Computational Linguistics, 2018. : country:USA, 2018. : place:Stroudsburg, PA, 2018
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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.
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Keyword:
Emoji semantics; Evaluation; Multilingual Emoji Prediction
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URL: https://doi.org/10.18653/v1/S18-1003
http://hdl.handle.net/2318/1682124
http://aclweb.org/anthology/S18-1003
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Sentiment Polarity Classification at EVALITA: Lessons Learned and Open Challenges
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Overview of the Evalita 2014 SENTIment POLarity Classification Task
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In: Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14) ; https://hal.inria.fr/hal-01228925 ; Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14), 2014, Pisa, Italy. ⟨10.12871/clicit201429⟩ (2014)
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