Word-Based POMDP Dialog Management via Hybrid Learning
Dialog management plays an important role in the task-oriented dialog system. Most of the previous works divide dialog management into state tracker and action selector. The two parts are modeled separately and implemented in a pipelined way, which suffers from the problem of error accumulation, and...
Main Authors: | Shuyu Lei, Xiaojie Wang, Caixia Yuan |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8664102/ |
Similar Items
-
Theoretical Views in Inter-religious Dialog in Iran
by: Majid Jafarian, et al.
Published: (2015-09-01) -
Exploiting More Associations Between Slots for Multi-Domain Dialog State Tracking
by: Hui Bai, et al.
Published: (2022-03-01) -
Bridges between individuals and communities: dialogic participation fueling meaningful social engagement
by: Itxaso Tellado
Published: (2017-01-01) -
SUMBT+LaRL: Effective Multi-Domain End-to-End Neural Task-Oriented Dialog System
by: Hwaran Lee, et al.
Published: (2021-01-01) -
Policy Reuse for Dialog Management Using Action-Relation Probability
by: Tung T. Nguyen, et al.
Published: (2020-01-01)