90 citations · 230 across the 22 of their papers we have counts for
4 papers · 1 filter
End-to-End Trainable Non-Collaborative Dialog System
Yu Li, Kun Qian, Weiyan Shi +1
End-to-end task-oriented dialog models have achieved promising performance on collaborative tasks where users willingly coordinate with the system to complete a given task. While i…
How to Build User Simulators to Train RL-based Dialog Systems
Weiyan Shi, Kun Qian, Xuewei Wang +1
User simulators are essential for training reinforcement learning (RL) based dialog models. The performance of the simulator directly impacts the RL policy. However, building a goo…
Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good
Xuewei Wang, Weiyan Shi, Richard Kim +4
Developing intelligent persuasive conversational agents to change people's opinions and actions for social good is the frontier in advancing the ethical development of automated di…
Unsupervised Dialog Structure Learning
Weiyan Shi, Tiancheng Zhao, Zhou Yu
Learning a shared dialog structure from a set of task-oriented dialogs is an important challenge in computational linguistics. The learned dialog structure can shed light on how to…