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Thanks, so if I understand correctly, the trick to make the neural network take into account past state, is to feed him all at once, not just the current sentence, but the whole dialogue history.
If so, well that is a basic primitive solution and its nice that it kind of work however because of the architecture of said networks, this solution doesn't scale to any long text, book or long dialogue.
Because the length of the input is capped to a max, and because the bigger the input is the less accurate the prediction will be.
Neural networks are fundamentally unfit for late binding and long exchanges.
While there exists hacks to improve regarding this goal:
https://arxiv.org/abs/2004.05150
https://arxiv.org/abs/2001.09694
I still believe transformers are unfit and will be the dawn of the current but yet invisible AI winter.
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