89 citations · 115 across the 5 of their papers we have counts for
4 papers · 1 filter
Fine Grained Knowledge Transfer for Personalized Task-oriented Dialogue Systems
Kaixiang Mo, Yu Zhang, Qiang Yang +1
Training a personalized dialogue system requires a lot of data, and the data collected for a single user is usually insufficient. One common practice for this problem is to share t…
Integrating User and Agent Models: A Deep Task-Oriented Dialogue System
Weiyan Wang, Yuxiang WU, Yu Zhang +3
Task-oriented dialogue systems can efficiently serve a large number of customers and relieve people from tedious works. However, existing task-oriented dialogue systems depend on h…
Flexible End-to-End Dialogue System for Knowledge Grounded Conversation
Wenya Zhu, Kaixiang Mo, Yu Zhang +3
In knowledge grounded conversation, domain knowledge plays an important role in a special domain such as Music. The response of knowledge grounded conversation might contain multip…
Learning to Transfer
Ying Wei, Yu Zhang, Qiang Yang
Transfer learning borrows knowledge from a source domain to facilitate learning in a target domain. Two primary issues to be addressed in transfer learning are what and how to tran…