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[P] Do you know SQuAD dataset? Try KorQuAD(Korean SQuAD dataset) with pre-trained BERT!

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

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.

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.

https://github.com/lyeoni/KorQuAD

submitted by /u/lyeoni
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.