Yuan at SemEval-2018 Task 1: Tweets Emotion Intensity Prediction using Ensemble Recurrent Neural Network

Min Wang, Xiaobing Zhou


Abstract
We perform the LSTM and BiLSTM model for the emotion intensity prediction. We only join the third subtask in Task 1:Affect in Tweets. Our system rank 6th among all the teams.
Anthology ID:
S18-1031
Volume:
Proceedings of the 12th International Workshop on Semantic Evaluation
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Editors:
Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
205–209
Language:
URL:
https://aclanthology.org/S18-1031
DOI:
10.18653/v1/S18-1031
Bibkey:
Cite (ACL):
Min Wang and Xiaobing Zhou. 2018. Yuan at SemEval-2018 Task 1: Tweets Emotion Intensity Prediction using Ensemble Recurrent Neural Network. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 205–209, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):
Yuan at SemEval-2018 Task 1: Tweets Emotion Intensity Prediction using Ensemble Recurrent Neural Network (Wang & Zhou, SemEval 2018)
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PDF:
https://aclanthology.org/S18-1031.pdf