| Structural knowledge distillation: Tractably distilling information for structured predictor X Wang, Y Jiang, Z Yan, Z Jia, N Bach, T Wang, Z Huang, F Huang, K Tu arXiv preprint arXiv:2010.05010, 2020 | 10 | 2020 |
| An empirical study of pipeline vs. joint approaches to entity and relation extraction Z Yan, Z Jia, K Tu Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the …, 2022 | 8 | 2022 |
| Span-based semantic role labeling with argument pruning and second-order inference Z Jia, Z Yan, H Wu, K Tu Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10822 …, 2022 | 7 | 2022 |
| Joint entity and relation extraction with span pruning and hypergraph neural networks Z Yan, S Yang, W Liu, K Tu arXiv preprint arXiv:2310.17238, 2023 | 4 | 2023 |
| Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field Z Jia, Z Yan, W Han, Z Zheng, K Tu arXiv preprint arXiv:2212.08929, 2022 | 3 | 2022 |
| Joint information extraction with cross-task and cross-instance high-order modeling Z Jia, Z Yan, W Han, Z Zheng, K Tu ArXiv, abs/2212.08929, 2022 | 1 | 2022 |
| Potential and Limitations of LLMs in Capturing Structured Semantics: A Case Study on SRL N Cheng, Z Yan, Z Wang, Z Li, J Yu, Z Zheng, K Tu, J Xu, W Han arXiv preprint arXiv:2405.06410, 2024 | | 2024 |
| Structural Knowledge Distillation X Wang, Y Jiang, Z Yan, Z Jia, N Bach, T Wang, Z Huang, F Huang, K Tu | | 2020 |
