| A prototypical semantic decoupling method via joint contrastive learning for few-shot named entity recognition G Dong, Z Wang, L Wang, D Guo, D Fu, Y Wu, C Zeng, X Li, T Hui, K He, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 14 | 2023 |
| Pssat: A perturbed semantic structure awareness transferring method for perturbation-robust slot filling G Dong, D Guo, L Wang, X Li, Z Wang, C Zeng, K He, J Zhao, H Lei, X Cui, ... arXiv preprint arXiv:2208.11508, 2022 | 13 | 2022 |
| A multi-task semantic decomposition framework with task-specific pre-training for few-shot ner G Dong, Z Wang, J Zhao, G Zhao, D Guo, D Fu, T Hui, C Zeng, K He, X Li, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 12 | 2023 |
| Revisit input perturbation problems for llms: A unified robustness evaluation framework for noisy slot filling task G Dong, J Zhao, T Hui, D Guo, W Wang, B Feng, Y Qiu, Z Gongque, K He, ... CCF International Conference on Natural Language Processing and Chinese …, 2023 | 10 | 2023 |
| Revisit out-of-vocabulary problem for slot filling: A unified contrastive framework with multi-level data augmentations D Guo, G Dong, D Fu, Y Wu, C Zeng, T Hui, L Wang, X Li, Z Wang, K He, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 9 | 2023 |
| Semi-supervised knowledge-grounded pre-training for task-oriented dialog systems W Zeng, K He, Z Wang, D Fu, G Dong, R Geng, P Wang, J Wang, C Sun, ... arXiv preprint arXiv:2210.08873, 2022 | 9 | 2022 |
