TY - CPAPER
AU - Aji, Alham Fikri
AU - Nityasya, Made Nindyatama
AU - Wibowo, Haryo Akbarianto
AU - Prasojo, Radityo Eko
AU - Fatyanosa, Tirana
PY - 2021
DA - June
TI - BERT Goes Brrr: A Venture Towards the Lesser Error in Classifying Medical Self-Reporters on Twitter
EP - 64
DO - https://doi.org/10.18653/v1/2021.smm4h-1.9
AB - This paper describes our team's submission for the Social Media Mining for Health (SMM4H) 2021 shared task. We participated in three subtasks: Classifying adverse drug effect, COVID-19 self-report, and COVID-19 symptoms. Our system is based on BERT model pre-trained on the domain-specific text. In addition, we perform data cleaning and augmentation, as well as hyperparameter optimization and model ensemble to further boost the BERT performance. We achieved the first rank in both classifying adverse drug effects and COVID-19 self-report tasks.
PB - Association for Computational Linguistics
UR - https://www.research.ed.ac.uk/en/publications/4c9d76c1-7300-4c10-896d-02474f4300ea
KW - Coronavirus (COVID-19)
ER