bert finetuning for multilingual question answering
Hi, I'm just learning BERT now, and wanna use pyTorch and apply BERT for question answering.
I browsed the models, and it seems that run_squad.py is appropriate for question answering task.
But I wanna apply it to other languages' question answering tasks, so what I can do is using run_squad.py and switching the train/dev file paths to other languages datasets?
And what if I wanna apply the task to some small data(written in another language. so it will be actual and specific task), the process will be finetuning the "run_sqaud.py" with that language datasets, and then finetuning it again with the small data?

Thank you,
Hi @haenvely , if you have the datset in same format as SQuAD then you can us the `run_squad` script. You can specify train and eval file using `--train_file` and `--predict_file` argument.

But you'll need a model which pre-trained on the language that you want.<|||||>This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
