NYCU-NLP at EXALT 2024: Assembling Large Language Models for Cross-Lingual Emotion and Trigger Detection

Tzu Mi Lin, Zhe Yu Xu, Jian Yu Zhou, Lung Hao Lee*

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

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.

原文English
主出版物標題WASSA 2024 - 14th Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media Analysis, Proceedings of the Workshop
編輯Orphee De Clercq, Valentin Barriere, Jeremy Barnes, Roman Klinger, Joao Sedoc, Shabnam Tafreshi
發行者Association for Computational Linguistics (ACL)
頁面505-510
頁數6
ISBN(電子)9798891761568
出版狀態Published - 2024
事件14th Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media Analysis, WASSA 2024 - Bangkok, 泰國
持續時間: 15 8月 2024 → …

出版系列

名字WASSA 2024 - 14th Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media Analysis, Proceedings of the Workshop

Conference

Conference14th Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media Analysis, WASSA 2024
國家/地區泰國
城市Bangkok
期間15/08/24 → …

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