Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification-Reference-Cited by-同舟云学术

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Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification

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:

Yan Guangfeng,Fan Lu,Li Qimai,Liu Han,Zhang Xiaotong,Wu Xiao-Ming,Lam Albert Y.S.

Publisher

Association for Computational Linguistics

Cited by 26 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. New Intent Discovery with Multi-View Clustering;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Improving Open Intent Detection via Triplet-Contrastive Learning and Adaptive Boundary;IEEE Transactions on Consumer Electronics;2024-02

3. Few-shot out-of-scope intent classification: analyzing the robustness of prompt-based learning;Applied Intelligence;2024-01

4. Continual Learning for Task-Oriented Dialogue Systems;Synthesis Lectures on Human Language Technologies;2024

5. Open-World Continual Learning: A Framework;Synthesis Lectures on Human Language Technologies;2024

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