ISLab System for SMM4H Shared Task 2020
Chen-Kai Wang, Hong-Jie Dai, You-Chen Zhang, Bo-Chun Xu, Bo-Hong Wang, You-Ning Xu, Po-Hao Chen, Chung-Hong Lee
Abstract
In this paper, we described our systems for the first and second subtasks of Social Media Mining for Health Applications (SMM4H) shared task in 2020. The two subtasks are automatic classi-fication of medication mentions and adverse effect in tweets. Our systems for both subtasks are based on Robustly optimized BERT approach (RoBERTa) and our previous work at SMM4H’19. The best F1-scores achieved by our systems for subtask 1 and 2 were 0.7974 and 0.64 respec-tively, which outperformed the average F1-scores among all teams’ best runs by at least 0.13.- Anthology ID:
- 2020.smm4h-1.6
- Volume:
- Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task
- Month:
- December
- Year:
- 2020
- Address:
- Barcelona, Spain (Online)
- Editors:
- Graciela Gonzalez-Hernandez, Ari Z. Klein, Ivan Flores, Davy Weissenbacher, Arjun Magge, Karen O'Connor, Abeed Sarker, Anne-Lyse Minard, Elena Tutubalina, Zulfat Miftahutdinov, Ilseyar Alimova
- Venue:
- SMM4H
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 42–45
- Language:
- URL:
- https://aclanthology.org/2020.smm4h-1.6
- DOI:
- Cite (ACL):
- Chen-Kai Wang, Hong-Jie Dai, You-Chen Zhang, Bo-Chun Xu, Bo-Hong Wang, You-Ning Xu, Po-Hao Chen, and Chung-Hong Lee. 2020. ISLab System for SMM4H Shared Task 2020. In Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task, pages 42–45, Barcelona, Spain (Online). Association for Computational Linguistics.
- Cite (Informal):
- ISLab System for SMM4H Shared Task 2020 (Wang et al., SMM4H 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2020.smm4h-1.6.pdf