Fine-Grained Argument Understanding with BERT Ensemble Techniques: A Deep Dive into Financial Sentiment Analysis
Eugene Sy, Tzu-Cheng Peng, Shih-Hsuan Huang, Heng-Yu Lin, Yung-Chun Chang
- Anthology ID:
- 2023.rocling-1.30
- Volume:
- Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)
- Month:
- October
- Year:
- 2023
- Address:
- Taipei City, Taiwan
- Editors:
- Jheng-Long Wu, Ming-Hsiang Su
- Venue:
- ROCLING
- SIG:
- Publisher:
- The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
- Note:
- Pages:
- 242–249
- Language:
- URL:
- https://aclanthology.org/2023.rocling-1.30
- DOI:
- Cite (ACL):
- Eugene Sy, Tzu-Cheng Peng, Shih-Hsuan Huang, Heng-Yu Lin, and Yung-Chun Chang. 2023. Fine-Grained Argument Understanding with BERT Ensemble Techniques: A Deep Dive into Financial Sentiment Analysis. In Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023), pages 242–249, Taipei City, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
- Cite (Informal):
- Fine-Grained Argument Understanding with BERT Ensemble Techniques: A Deep Dive into Financial Sentiment Analysis (Sy et al., ROCLING 2023)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2023.rocling-1.30.pdf