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Hi Jeremy (& Sebastian of course), this is an amazing contribution to the state of the art!

I haven't read things in depth, but am curious - how do these models cope with out of vocabulary terms?




Initially embeddings of OOV terms are initialized to mean embeddings, and then the language model fine-tuning step allows the model to adjust these values.

See [18] here: https://github.com/fastai/fastai/blob/master/courses/dl2/imd....




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