Dialogue Agent
Related Papers
Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems
AbstractIn this work, we present a hybrid learning method for training task-oriented dialogue systems through online user interactions. Popular methods for learning task-oriented dialogues include applying reinforcement learning with user …...
Learning Efficient Dialogue Policy from Demonstrations through Shaping
AbstractTraining a task-oriented dialogue agent with reinforcement learning is prohibitively expensive since it requires a large volume of interactions with users. Human demonstrations can be used to accelerate learning progress. …...
Modeling Dialogue in Conversational Cognitive Health Screening Interviews
AbstractAutomating straightforward clinical tasks can reduce workload for healthcare professionals, increase accessibility for geographically-isolated patients, and alleviate some of the economic burdens associated with healthcare. A variety of preliminary screening …...
Task-Oriented Dialogue as Dataflow Synthesis
AbstractWe describe an approach to task-oriented dialogue in which dialogue state is represented as a dataflow graph. A dialogue agent maps each user utterance to a program that extends this …...
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data
AbstractMaintaining a consistent persona is essential for dialogue agents. Although tremendous advancements have been brought, the limited-scale of annotated personalized dialogue datasets is still a barrier towards training robust and …...
Human-like informative conversations: Better acknowledgements using conditional mutual information
AbstractThis work aims to build a dialogue agent that can weave new factual content into conversations as naturally as humans. We draw insights from linguistic principles of conversational analysis and …...