EPUTION at SemEval-2018 Task 2: Emoji Prediction with User Adaption

Liyuan Zhou, Qiongkai Xu, Hanna Suominen, Tom Gedeon

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Citations (Scopus)

    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.

    Original languageEnglish
    Title of host publicationNAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop
    EditorsMarianna Apidianaki, Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
    PublisherAssociation for Computational Linguistics (ACL)
    Pages449-453
    Number of pages5
    ISBN (Electronic)9781948087209
    Publication statusPublished - 2018
    Event12th International Workshop on Semantic Evaluation, SemEval 2018, co-located with the 16th Annual Conference of the North American Chapter of the - New Orleans, United States
    Duration: 5 Jun 20186 Jun 2018

    Publication series

    NameNAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop

    Conference

    Conference12th International Workshop on Semantic Evaluation, SemEval 2018, co-located with the 16th Annual Conference of the North American Chapter of the
    Country/TerritoryUnited States
    CityNew Orleans
    Period5/06/186/06/18

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