Albert Y.S. Lam
2023
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training
Haode Zhang
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Haowen Liang
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Li-Ming Zhan
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Xiao-Ming Wu
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Albert Y.S. Lam
Findings of the Association for Computational Linguistics: ACL 2023
2022
A Closer Look at Few-Shot Out-of-Distribution Intent Detection
Li-Ming Zhan
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Haowen Liang
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Lu Fan
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Xiao-Ming Wu
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Albert Y.S. Lam
Proceedings of the 29th International Conference on Computational Linguistics
2021
Effectiveness of Pre-training for Few-shot Intent Classification
Haode Zhang
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Yuwei Zhang
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Li-Ming Zhan
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Jiaxin Chen
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Guangyuan Shi
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Xiao-Ming Wu
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Albert Y.S. Lam
Findings of the Association for Computational Linguistics: EMNLP 2021
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training
Li-Ming Zhan
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Haowen Liang
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Bo Liu
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Lu Fan
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Xiao-Ming Wu
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Albert Y.S. Lam
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
2020
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification
Guangfeng Yan
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Lu Fan
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Qimai Li
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Han Liu
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Xiaotong Zhang
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Xiao-Ming Wu
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Albert Y.S. Lam
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
2019
Reconstructing Capsule Networks for Zero-shot Intent Classification
Han Liu
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Xiaotong Zhang
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Lu Fan
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Xuandi Fu
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Qimai Li
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Xiao-Ming Wu
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Albert Y.S. Lam
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Co-authors
- Xiao-Ming Wu 6
- Li-Ming Zhan 4
- Lu Fan 4
- Haowen Liang 3
- Qimai Li 2
- show all...