A simple tutorial on how to apply pre-trained BERT model to Korean QA task.

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A pre-trained BERT model is publicly available !

huggingface/pytorch-pretrained-BERT repository contains op-for-op PyTorch reimplementations, pre-trained models and fine-tuning examples for Google’s BERT model. And as a result of submission BERT fine-tuned with default hyper-parameter, it ranked 30th with EM= 71.47, F1= 89.71 on the KorQuAD leaderboard.

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So, I covered the process of fine-tuning and submitting BERT and result for official evaluation on KorQuAD. Once your BERT model has been evaluated officially, scores will be added to the leaderboard.

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https://github.com/lyeoni/KorQuAD