CIC NLP at SMM4H 2022: a BERT-based approach for classification of social media forum posts

Atnafu Lambebo Tonja, Olumide Ebenezer Ojo, Mohammed Arif Khan, Abdul Gafar Manuel Meque, Olga Kolesnikova, Grigori Sidorov, Alexander Gelbukh


Abstract
This paper describes our submissions for the Social Media Mining for Health (SMM4H) 2022 shared tasks. We participated in 2 tasks: a) Task 4: Classification of Tweets self-reporting exact age and b) Task 9: Classification of Reddit posts self-reporting exact age. We evaluated the two( BERT and RoBERTa) transformer based models for both tasks. For Task 4 RoBERTa-Large achieved an F1 score of 0.846 on the test set and BERT-Large achieved an F1 score of 0.865 on the test set for Task 9.
Anthology ID:
2022.smm4h-1.17
Volume:
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task
Month:
October
Year:
2022
Address:
Gyeongju, Republic of Korea
Venue:
SMM4H
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
58–61
Language:
URL:
https://aclanthology.org/2022.smm4h-1.17
DOI:
Bibkey:
Cite (ACL):
Atnafu Lambebo Tonja, Olumide Ebenezer Ojo, Mohammed Arif Khan, Abdul Gafar Manuel Meque, Olga Kolesnikova, Grigori Sidorov, and Alexander Gelbukh. 2022. CIC NLP at SMM4H 2022: a BERT-based approach for classification of social media forum posts. In Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task, pages 58–61, Gyeongju, Republic of Korea. Association for Computational Linguistics.
Cite (Informal):
CIC NLP at SMM4H 2022: a BERT-based approach for classification of social media forum posts (Tonja et al., SMM4H 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/2022.smm4h-1.17.pdf