Re:State-of-the-art text classification with universal langu...
by madisonmay on Wednesday May 16, 2018 @11:27AM
(#17083156)
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....
I haven't read things in depth, but am curious - how do these models cope with out of vocabulary terms?