13 citations · 16 across the 3 of their papers we have counts for
4 papers
A Student-Teacher Architecture for Dialog Domain Adaptation under the Meta-Learning Setting
Kun Qian, Wei Wei, Zhou Yu
Numerous new dialog domains are being created every day while collecting data for these domains is extremely costly since it involves human interactions. Therefore, it is essential…
Learning Structured Representations of Entity Names using Active Learning and Weak Supervision
Kun Qian, Poornima Chozhiyath Raman, Yunyao Li +1
Structured representations of entity names are useful for many entity-related tasks such as entity normalization and variant generation. Learning the implicit structured representa…
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…