Pytorch implementation of Dynamic Coattention Networks For Question Answering
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Pytorch implementation of "Dynamic Coattention Networks For Question Answering"
Pytorch implementation of Dynamic Coattention Networks For Question Answering
Line 214 in 5dd994b
As shown above, idx_i is not differentiable.
How can the gradient backprop. through?
Thank you.
Hey,
I'd like to try to utilize any state of the art open source question answering tool in some question answering applications.
How might this tool be applied? What kind of data does it need to be trained on?
Is there any best-known tool for this need other than this GitHub project?
Thanks very much.
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