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
- 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
- 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)
- PDF:
- https://preview.aclanthology.org/paclic-22-ingestion/S19-2060.pdf
- Data
- EmoContext