Pretraining the Noisy Channel Model for Task-Oriented Dialogue
Pretraining the Noisy Channel Model for Task-Oriented Dialogue
Abstract Direct decoding for task-oriented dialogue is known to suffer from the explaining-away effect, manifested in models that prefer short and generic responses. Here we argue for the use of Bayes’ theorem to factorize the dialogue task into two models, the distribution of the context given the response, and the …