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6th Workshop and Shared Tasks on Social Media Mining for Health, SMM4H 2021
; : 98-101, 2021.
Article
in English
| Scopus | ID: covidwho-2045968
ABSTRACT
This study describes our proposed model design for SMM4H 2021 shared tasks. We fine-tune the language model of RoBERTa transformers and their connecting classifier to complete the classification tasks of tweets for adverse pregnancy outcomes (Task 4) and potential COVID-19 cases (Task 5). The evaluation metric is F1-score of the positive class for both tasks. For Task 4, our best score of 0.93 exceeded the median score of 0.925. For Task 5, our best of 0.75 exceeded the median score of 0.745. © 2021 Association for Computational Linguistics.