200 citations · 1.3k across the 72 of their papers we have counts for
4 papers · 1 filter
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning
Baolin Peng, Xiujun Li, Lihong Li +4
Building a dialogue agent to fulfill complex tasks, such as travel planning, is challenging because the agent has to learn to collectively complete multiple subtasks. For example,…
Investigation of Language Understanding Impact for Reinforcement Learning Based Dialogue Systems
Xiujun Li, Yun-Nung Chen, Lihong Li +2
Language understanding is a key component in a spoken dialogue system. In this paper, we investigate how the language understanding module influences the dialogue system performanc…
End-to-End Task-Completion Neural Dialogue Systems
Xiujun Li, Yun-Nung Chen, Lihong Li +2
One of the major drawbacks of modularized task-completion dialogue systems is that each module is trained individually, which presents several challenges. For example, downstream m…
Scaffolding Networks: Incremental Learning and Teaching Through Questioning
Asli Celikyilmaz, Li Deng, Lihong Li +1
We introduce a new paradigm of learning for reasoning, understanding, and prediction, as well as the scaffolding network to implement this paradigm. The scaffolding network embodie…