Using a Deep Learning Dialogue Research Toolkit in a Multilingual Multidomain Practical Application

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》资源》论文》Using a Deep Learning Dialogue Research Toolkit in a Multilingual Multidomain Practical Application

Using a Deep Learning Dialogue Research Toolkit in a Multilingual Multidomain Practical Application

2019-11-07 |

55 |

38 |

Using a Deep Learning Dialogue Research Toolkit in a Multilingual Multidomain Practical Application
论文

Abstract
The demo shows a practical application of an opensource 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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