Albert Y.S. Lam
Home
Contacts
Curriculum Vitae
Teaching
Research
Group
Publications
Overview
Vehicular Energy Network
Autonomous Vehicles & ITS
Smart Grid
Chemical Reaction Optimization
Speech Recognition
Natural Language Processing

Natural Language Processing

© 2010-2022 by A.Y.S. Lam
AV 

(Image: iNLP Center)

References

  • Han Liu, Xiaotong Zhang, Lu Fan, Xuandi Fu, Qimai Li, Xiao-Ming Wu, and Albert Y.S. Lam, “Reconstructing Capsule Networks for Zero-shot Intent Classification,”, in Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), Hong Kong, Nov. 2019.

  • Guangfeng Yan, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Xiao-MingWu, and Albert Y.S. Lam, “Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification,” in Proceedings of 2020 Annual Conference of the Association for Computational Linguistics (ACL 2020), July 2020.

  • Li-Ming Zhan, Haowen Liang, Bo Liu, Lu Fan, Xiao-Ming Wu and Albert Y.S. Lam, “Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training,” in Proceedings of The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand, Aug. 2021.

  • Haode Zhang, Yuwei Zhang, Li-Ming Zhan, Jiaxin Chen, Guangyuan Shi, Xiao-Ming Wu, and Albert Y.S. Lam, “Effectiveness of Pre-training for Few-shot Intent Classification,” in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Findings, Punta Cana, Dominican Republic, Nov. 2021.

  • Yuwei Zhang, Haode Zhang, Li-Ming Zhan, Xiao-Ming Wu, Albert Y.S. Lam, “New Intent Discovery with Pre-training and Contrastive Learning,” in Proceedings of 2022 Annual Conference of the Association for Computational Linguistics (ACL 2022), Dublin, May 2022.

  • H. Zhang, H. Liang, Y. Zhang, L.-M. Zhan, X.-M. Wu, X. Lu, A.Y.S. Lam, “Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization,” in Proceedings of 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022), Seattle, WA, July 2022.