End-to-end optimization of goal-driven and visually grounded dialogue systems Harm de Vries
End-to-end optimization of goal-driven and visually grounded dialogue systems Harm de Vries
End-to-end design of dialogue systems has recently become a popular research topic thanks to powerful tools such as encoder-decoder architectures for sequence-to-sequence learning. Yet, most current approaches cast human-machine dialogue management as a supervised learning problem, aiming at predicting the next utterance of a participant given the full history of …