HAMiSoN-Ensemble at ClimateActivism 2024: Ensemble of RoBERTa, Llama 2, and Multi-task for Stance Detection

Raquel Rodriguez-Garcia, Julio Reyes Montesinos, Jesus M. Fraile-Hernandez, Anselmo Peñas


Abstract
CASE @ EACL 2024 proposes a shared task on Stance and Hate Event Detection for Climate Activism discourse. For our participation in the stance detection task, we propose an ensemble of different approaches: a transformer-based model (RoBERTa), a generative Large Language Model (Llama 2), and a Multi-Task Learning model. Our main goal is twofold: to study the effect of augmenting the training data with external datasets, and to examine the contribution of several, diverse models through a voting ensemble. The results show that if we take the best configuration during training for each of the three models (RoBERTa, Llama 2 and MTL), the ensemble would have ranked first with the highest F1 on the leaderboard for the stance detection subtask.
Anthology ID:
2024.case-1.16
Volume:
Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024)
Month:
March
Year:
2024
Address:
St. Julians, Malta
Editors:
Ali Hürriyetoğlu, Hristo Tanev, Surendrabikram Thapa, Gökçe Uludoğan
Venues:
CASE | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
118–124
Language:
URL:
https://aclanthology.org/2024.case-1.16
DOI:
Bibkey:
Cite (ACL):
Raquel Rodriguez-Garcia, Julio Reyes Montesinos, Jesus M. Fraile-Hernandez, and Anselmo Peñas. 2024. HAMiSoN-Ensemble at ClimateActivism 2024: Ensemble of RoBERTa, Llama 2, and Multi-task for Stance Detection. In Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024), pages 118–124, St. Julians, Malta. Association for Computational Linguistics.
Cite (Informal):
HAMiSoN-Ensemble at ClimateActivism 2024: Ensemble of RoBERTa, Llama 2, and Multi-task for Stance Detection (Rodriguez-Garcia et al., CASE-WS 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.case-1.16.pdf
Supplementary material:
 2024.case-1.16.SupplementaryMaterial.txt
Video:
 https://aclanthology.org/2024.case-1.16.mp4