Maintaining state between predictions

[gidim]

Hi,
Any plans on adding state to the encoder/decoder? the idea is that you realistically you want to predict (answer_n | question_n, answer_n-1,question_n-1 ...) and not one by one as the original translation model is doing.

[Marsan-Ma-zz]

That's an interesting idea,
how do we make this model remembering some facts from previous dialogue?
I guess neural Turing machine might be a good candidate.

[gidim]

There's many ways to maintain some memory of the sequence of inputs but the easiest
is just to keep the LSTM/GRU state between calls to model.step(), and not reset it.