A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems

Author:

Park Sunghyun,Li Han,Patel Ameen,Mudgal Sidharth,Lee Sungjin,Kim Young-Bum,Matsoukas Spyros,Sarikaya Ruhi

Publisher

Association for Computational Linguistics

Cited by 5 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. A Self-Learning Framework for Large-Scale Conversational AI Systems;IEEE Computational Intelligence Magazine;2024-05

3. A Data-centric Solution to Improve Online Performance of Customer Service Bots;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

4. Self-Healing Through Error Detection, Attribution, and Retraining;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

5. User Feedback and Ranking in-a-Loop: Towards Self-Adaptive Dialogue Systems;Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval;2021-07-11

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