Transformer-based models for question answering on covid19
In response to the Kaggle's COVID-19 Open Research Dataset (CORD-19) challenge, we
have proposed three transformer-based question-answering systems using BERT, ALBERT,
and T5 models. Since the CORD-19 dataset is unlabeled, we have evaluated the question-
answering models' performance on two labeled questions answers datasets\textemdash
CovidQA and CovidGQA. The BERT-based QA system achieved the highest F1 score
(26.32), while the ALBERT-based QA system achieved the highest Exact Match (13.04) …
have proposed three transformer-based question-answering systems using BERT, ALBERT,
and T5 models. Since the CORD-19 dataset is unlabeled, we have evaluated the question-
answering models' performance on two labeled questions answers datasets\textemdash
CovidQA and CovidGQA. The BERT-based QA system achieved the highest F1 score
(26.32), while the ALBERT-based QA system achieved the highest Exact Match (13.04) …
[CITATION][C] Transformer-based models for question answering on COVID19. 2021
H Ngai, Y Park, J Chen, M Parsapoor
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