PyDial: A Multi-domain Statistical Dialogue System Toolkit-Reference-Cited by-同舟云学术

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PyDial: A Multi-domain Statistical Dialogue System Toolkit

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of ACL 2017, System Demonstrations
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Author:

Ultes Stefan,Rojas Barahona Lina M.,Su Pei-Hao,Vandyke David,Kim Dongho,Casanueva Iñigo,Budzianowski Paweł,Mrkšić Nikola,Wen Tsung-Hsien,Gasic Milica,Young Steve

Publisher

Association for Computational Linguistics

Cited by 65 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine-Assisted Error Discovery in Conversational AI Systems;Extended Abstracts of the CHI Conference on Human Factors in Computing Systems;2024-05-02

2. Leveraging User Simulation to Develop and Evaluate Conversational Information Access Agents;Proceedings of the 17th ACM International Conference on Web Search and Data Mining;2024-03-04

3. A Modular Framework for Domain-Specific Conversational Systems Powered by Never-Ending Learning;Applied Sciences;2024-02-16

4. Robust Multi-Domain Multi-Turn Dialogue Policy via Student-Teacher Offline Reinforcement Learning;APSIPA Transactions on Signal and Information Processing;2024

5. User Simulation for Evaluating Information Access Systems;Foundations and Trends® in Information Retrieval;2024

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