THU-HCSI at SemEval-2019 Task 3: Hierarchical Ensemble Classification of Contextual Emotion in Conversation

Xihao Liang, Ye Ma, Mingxing Xu


Abstract
In this paper, we describe our hierarchical ensemble system designed for the SemEval-2019 task3, EmoContext. In our system, three sets of classifiers are trained for different sub-targets and the predicted labels of these base classifiers are combined through three steps of voting to make the final prediction. Effective details for developing base classifiers are highlighted.
Anthology ID:
S19-2060
Volume:
Proceedings of the 13th International Workshop on Semantic Evaluation
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota, USA
Editors:
Jonathan May, Ekaterina Shutova, Aurelie Herbelot, Xiaodan Zhu, Marianna Apidianaki, Saif M. Mohammad
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
345–349
Language:
URL:
https://aclanthology.org/S19-2060
DOI:
10.18653/v1/S19-2060
Bibkey:
Cite (ACL):
Xihao Liang, Ye Ma, and Mingxing Xu. 2019. THU-HCSI at SemEval-2019 Task 3: Hierarchical Ensemble Classification of Contextual Emotion in Conversation. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 345–349, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
Cite (Informal):
THU-HCSI at SemEval-2019 Task 3: Hierarchical Ensemble Classification of Contextual Emotion in Conversation (Liang et al., SemEval 2019)
Copy Citation:
PDF:
https://aclanthology.org/S19-2060.pdf
Data
EmoContext