Classification, Extraction, and Normalization : CASIA_Unisound Team at the Social Media Mining for Health 2021 Shared Tasks

Tong Zhou, Zhucong Li, Zhen Gan, Baoli Zhang, Yubo Chen, Kun Niu, Jing Wan, Kang Liu, Jun Zhao, Yafei Shi, Weifeng Chong, Shengping Liu


Abstract
This is the system description of the CASIA_Unisound team for Task 1, Task 7b, and Task 8 of the sixth Social Media Mining for Health Applications (SMM4H) shared task in 2021. Targeting on deal with two shared challenges, the colloquial text and the imbalance annotation, among those tasks, we apply a customized pre-trained language model and propose various training strategies. Experimental results show the effectiveness of our system. Moreover, we got an F1-score of 0.87 in task 8, which is the highest among all participates.
Anthology ID:
2021.smm4h-1.13
Volume:
Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task
Month:
June
Year:
2021
Address:
Mexico City, Mexico
Venue:
SMM4H
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
77–82
Language:
URL:
https://aclanthology.org/2021.smm4h-1.13
DOI:
10.18653/v1/2021.smm4h-1.13
Bibkey:
Cite (ACL):
Tong Zhou, Zhucong Li, Zhen Gan, Baoli Zhang, Yubo Chen, Kun Niu, Jing Wan, Kang Liu, Jun Zhao, Yafei Shi, Weifeng Chong, and Shengping Liu. 2021. Classification, Extraction, and Normalization : CASIA_Unisound Team at the Social Media Mining for Health 2021 Shared Tasks. In Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task, pages 77–82, Mexico City, Mexico. Association for Computational Linguistics.
Cite (Informal):
Classification, Extraction, and Normalization : CASIA_Unisound Team at the Social Media Mining for Health 2021 Shared Tasks (Zhou et al., SMM4H 2021)
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PDF:
https://preview.aclanthology.org/nodalida-main-page/2021.smm4h-1.13.pdf