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
- 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)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/S18-1031.pdf