Tzu-Mi Lin, Zhe-Yu Xu, Jian-Yu Zhou, and Lung-Hao Lee.
In Proceedings of 14th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA’24), pages 505-510.
Abstract
This study describes the model design of the NYCU-NLP system for the EXALT shared task at the WASSA 2024 workshop. We instruction-tune several large language models and then assemble various model combinations as our main system architecture for cross-lingual emotion and trigger detection in tweets. Experimental results showed that our best performing submission is an assembly of the Starling (7B) and Llama 3 (8B) models. Our submission was ranked sixth of 17 participating systems for the emotion detection subtask, and fifth of 7 systems for the binary trigger detection subtask.
