2018
IJCAI
IJCAI 2018
Using a Deep Learning Dialogue Research Toolkit in a Multilingual Multidomain Practical Application
Abstract
The demo shows a practical application of an open-source research toolkit developed by University of Cambridge. The toolkit (PyDial) supports research on deep reinforcement learning for multi-domain dialogues. The application (CityTalk) is a spoken dialogue system for robots that give information to tourists about local hotels and restaurants. We had a very positive experience using the toolkit, but in a few areas we decided to do things our own way.
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Interdisciplinary Bridge
- Artificial Intelligence and Natural Language Processing and Reinforcement Learning
Authors
Topics
Artificial Intelligence > Core AI > Human-AI Interaction
Artificial Intelligence > Core AI > Multimodal Learning
Natural Language Processing > Generation > Dialogue Systems
Reinforcement Learning > Methods > Deep RL
Reinforcement Learning > Applications > Game AI
Deep Learning > Learning Types > Reinforcement Learning