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ECNU at SemEval-2018 Task 2: Leverage Traditional NLP Features and Neural Networks Methods to Address Twitter Emoji Prediction Task

  • Xingwu Lu
  • , Xin Mao
  • , Man Lan*
  • , Yuanbin Wu
  • *此作品的通讯作者
  • East China Normal University
  • Shanghai Key Laboratory of Multidimensional Information Processing

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper describes our submissions to Task 2 in SemEval 2018, i.e., Multilingual Emoji Prediction. We first investigate several traditional Natural Language Processing (NLP) features, and then design several deep learning models. For subtask 1: Emoji Prediction in English, we combine two different methods to represent tweet, i.e., supervised model using traditional features and deep learning model. For subtask 2: Emoji Prediction in Spanish, we only use deep learning model.

源语言英语
主期刊名NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop
编辑Marianna Apidianaki, Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
出版商Association for Computational Linguistics (ACL)
433-437
页数5
ISBN(电子版)9781948087209
DOI
出版状态已出版 - 2018
活动12th International Workshop on Semantic Evaluation, SemEval 2018, co-located with the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2018 - New Orleans, 美国
期限: 5 6月 20186 6月 2018

出版系列

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

会议

会议12th International Workshop on Semantic Evaluation, SemEval 2018, co-located with the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2018
国家/地区美国
New Orleans
时期5/06/186/06/18

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