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
Correct Metadata for
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
- Editors:
- Arjun Magge, Ari Klein, Antonio Miranda-Escalada, Mohammed Ali Al-garadi, Ilseyar Alimova, Zulfat Miftahutdinov, Eulalia Farre-Maduell, Salvador Lima Lopez, Ivan Flores, Karen O'Connor, Davy Weissenbacher, Elena Tutubalina, Abeed Sarker, Juan M Banda, Martin Krallinger, Graciela Gonzalez-Hernandez
- 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)
- Copy Citation:
- PDF:
- https://aclanthology.org/2021.smm4h-1.13.pdf
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@inproceedings{zhou-etal-2021-classification, title = "Classification, Extraction, and Normalization : {CASIA}{\_}{U}nisound Team at the Social Media Mining for Health 2021 Shared Tasks", author = "Zhou, Tong and Li, Zhucong and Gan, Zhen and Zhang, Baoli and Chen, Yubo and Niu, Kun and Wan, Jing and Liu, Kang and Zhao, Jun and Shi, Yafei and Chong, Weifeng and Liu, Shengping", editor = "Magge, Arjun and Klein, Ari and Miranda-Escalada, Antonio and Al-garadi, Mohammed Ali and Alimova, Ilseyar and Miftahutdinov, Zulfat and Farre-Maduell, Eulalia and Lopez, Salvador Lima and Flores, Ivan and O'Connor, Karen and Weissenbacher, Davy and Tutubalina, Elena and Sarker, Abeed and Banda, Juan M and Krallinger, Martin and Gonzalez-Hernandez, Graciela", booktitle = "Proceedings of the Sixth Social Media Mining for Health ({\#}SMM4H) Workshop and Shared Task", month = jun, year = "2021", address = "Mexico City, Mexico", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2021.smm4h-1.13/", doi = "10.18653/v1/2021.smm4h-1.13", pages = "77--82", 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." }
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%0 Conference Proceedings %T Classification, Extraction, and Normalization : CASIA_Unisound Team at the Social Media Mining for Health 2021 Shared Tasks %A Zhou, Tong %A Li, Zhucong %A Gan, Zhen %A Zhang, Baoli %A Chen, Yubo %A Niu, Kun %A Wan, Jing %A Liu, Kang %A Zhao, Jun %A Shi, Yafei %A Chong, Weifeng %A Liu, Shengping %Y Magge, Arjun %Y Klein, Ari %Y Miranda-Escalada, Antonio %Y Al-garadi, Mohammed Ali %Y Alimova, Ilseyar %Y Miftahutdinov, Zulfat %Y Farre-Maduell, Eulalia %Y Lopez, Salvador Lima %Y Flores, Ivan %Y O’Connor, Karen %Y Weissenbacher, Davy %Y Tutubalina, Elena %Y Sarker, Abeed %Y Banda, Juan M. %Y Krallinger, Martin %Y Gonzalez-Hernandez, Graciela %S Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task %D 2021 %8 June %I Association for Computational Linguistics %C Mexico City, Mexico %F zhou-etal-2021-classification %X 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. %R 10.18653/v1/2021.smm4h-1.13 %U https://aclanthology.org/2021.smm4h-1.13/ %U https://doi.org/10.18653/v1/2021.smm4h-1.13 %P 77-82
Markdown (Informal)
[Classification, Extraction, and Normalization : CASIA_Unisound Team at the Social Media Mining for Health 2021 Shared Tasks](https://aclanthology.org/2021.smm4h-1.13/) (Zhou et al., SMM4H 2021)
- Classification, Extraction, and Normalization : CASIA_Unisound Team at the Social Media Mining for Health 2021 Shared Tasks (Zhou et al., SMM4H 2021)
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.