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THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction

Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang
2018 Proceedings of The 12th International Workshop on Semantic Evaluation  
We propose a residual CNN-LSTM with attention (RCLA) model for this task. Our model combines CNN and LSTM layers to capture both local and long-range contextual information for tweet representation.  ...  Thus, in SemEval-2018 Task 2 an interesting and challenging task is proposed, i.e., predicting which emojis are evoked by text-based tweets.  ...  Acknowledgments The authors thank the reviewers for their insightful comments and constructive suggestions on improving this work. This work was sup-  ... 
doi:10.18653/v1/s18-1063 dblp:conf/semeval/WuWWYLH18 fatcat:ttllgqelozb4vbbga5ousddjwe