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    <abstract>This paper describes our approach, called EPUTION, for the open trial of the SemEval- 2018 Task 2, Multilingual Emoji Prediction. The task relates to using social media — more precisely, Twitter — with its aim to predict the most likely associated emoji of a tweet. Our solution for this text classification problem explores the idea of transfer learning for adapting the classifier based on users’ tweeting history. Our experiments show that our user-adaption method improves classification results by more than 6 per cent on the macro-averaged F1. Thus, our paper provides evidence for the rationality of enriching the original corpus longitudinally with user behaviors and transferring the lessons learned from corresponding users to specific instances.</abstract>
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%0 Conference Proceedings
%T EPUTION at SemEval-2018 Task 2: Emoji Prediction with User Adaption
%A Zhou, Liyuan
%A Xu, Qiongkai
%A Suominen, Hanna
%A Gedeon, Tom
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Bethard, Steven
%Y Carpuat, Marine
%S Proceedings of the 12th International Workshop on Semantic Evaluation
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F zhou-etal-2018-epution
%X This paper describes our approach, called EPUTION, for the open trial of the SemEval- 2018 Task 2, Multilingual Emoji Prediction. The task relates to using social media — more precisely, Twitter — with its aim to predict the most likely associated emoji of a tweet. Our solution for this text classification problem explores the idea of transfer learning for adapting the classifier based on users’ tweeting history. Our experiments show that our user-adaption method improves classification results by more than 6 per cent on the macro-averaged F1. Thus, our paper provides evidence for the rationality of enriching the original corpus longitudinally with user behaviors and transferring the lessons learned from corresponding users to specific instances.
%R 10.18653/v1/S18-1071
%U https://aclanthology.org/S18-1071
%U https://doi.org/10.18653/v1/S18-1071
%P 449-453

Markdown (Informal)

[EPUTION at SemEval-2018 Task 2: Emoji Prediction with User Adaption](https://aclanthology.org/S18-1071) (Zhou et al., SemEval 2018)

• EPUTION at SemEval-2018 Task 2: Emoji Prediction with User Adaption (Zhou et al., SemEval 2018)

ACL

• Liyuan Zhou, Qiongkai Xu, Hanna Suominen, and Tom Gedeon. 2018. EPUTION at SemEval-2018 Task 2: Emoji Prediction with User Adaption. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 449–453, New Orleans, Louisiana. Association for Computational Linguistics.