Менеджер Диалога

This work presents an agenda-based approach to improve the robustness of the dialog man- ager by using dialog examples and n-best recognition hypotheses. This approach sup- ports n-best hypotheses in …...

Procedural dialog systems can help users achieve a wide range of goals. However, such systems are challenging to build, currently requiring manual engineering of substantial domain-specific task knowl- edge and …...

AbstractDeep reinforcement learning is a promising approach to training a dialog manager, but current methods struggle with the large state and action spaces of multi-domain dialog systems. Building upon Deep …...