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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.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Reinforcement Learning
📈 Trend Setter — Human-AI Interaction
🧭 Keyword Pioneer — spoken dialogue
🐣 Hot Topic Early Bird — dialogue system
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Speech & Audio

Authors

Graham Wilcock

Topics

Artificial Intelligence > Core AI > Human-AI Interaction Artificial Intelligence > Core AI > Multimodal Learning Reinforcement Learning > Methods > Deep RL Reinforcement Learning > Applications > Game AI Natural Language Processing > Applications > Dialogue Systems Deep Learning > Learning Types > Reinforcement Learning

Keywords

deep reinforcement learning natural language understanding spoken dialogue system dialogue system spoken dialogue multi-domain dialogue
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