Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment-Reference-Cited by-同舟云学术

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Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
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Author:

Dai Yinpei,Li Hangyu,Tang Chengguang,Li Yongbin,Sun Jian,Zhu Xiaodan

Publisher

Association for Computational Linguistics

Cited by 9 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. An emotion-sensitive dialogue policy for task-oriented dialogue system;Scientific Reports;2024-08-26

2. Generating and encouraging: An effective framework for solving class imbalance in multimodal emotion recognition conversation;Engineering Applications of Artificial Intelligence;2024-07

3. Think, Act, and Ask: Open-World Interactive Personalized Robot Navigation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Virtual Customer Assistants in finance: From state of the art and practices to design guidelines;Computer Science Review;2023-02

5. Layout-Aware Information Extraction for Document-Grounded Dialogue;Proceedings of the 30th ACM International Conference on Multimedia;2022-10-10

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