| Unified Structure Generation for Universal Information Extraction Y Lu, Q Liu, D Dai, X Xiao, H Lin, X Han, L Sun, H Wu ACL 2022, 5755-5772, 2022 | 305 | 2022 |
| Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction Y Lu, H Lin, J Xu, X Han, J Tang, A Li, L Sun, M Liao, S Chen ACL-IJCNLP 2021, 2795-2806, 2021 | 253 | 2021 |
| Shallow convolutional neural network for implicit discourse relation recognition B Zhang, J Su, D Xiong, Y Lu, H Duan, J Yao EMNLP 2015, 2230-2235, 2015 | 129 | 2015 |
| Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks H Lin, Y Lu, X Han, L Sun ACL 2019, 5182-5192, 2019 | 119 | 2019 |
| Nugget Proposal Networks for Chinese Event Detection H Lin, Y Lu, X Han, L Sun ACL 2018, 1565-1574, 2018 | 92 | 2018 |
| Variational recurrent neural machine translation J Su, S Wu, D Xiong, Y Lu, X Han, B Zhang AAAI 2018, 5488-5495, 2018 | 92 | 2018 |
| Chatgpt is a knowledgeable but inexperienced solver: An investigation of commonsense problem in large language models N Bian, X Han, L Sun, H Lin, Y Lu, B He, S Jiang, B Dong COLING 2024, 3098–3110, 2023 | 80 | 2023 |
| Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning Y Lu, H Lin, X Han, L Sun ACL 2019, 4366-4376, 2019 | 54 | 2019 |
| A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land? H Lin, Y Lu, J Tang, X Han, L Sun, Z Wei, NJ Yuan EMNLP 2020, 7291-7300, 2020 | 42 | 2020 |
| Iterative Dual Domain Adaptation for Neural Machine Translation J Zeng, Y Liu, J Su, G Yubing, Y Lu, J Yin, Yongjing, Luo EMNLP-IJCNLP 2019, 845-854, 2019 | 35 | 2019 |
| Universal Information Extraction as Unified Semantic Matching J Lou, Y Lu, D Dai, W Jia, H Lin, X Han, L Sun, H Wu AAAI 2023, 13318-13326, 2023 | 30 | 2023 |
| End-to-end neural event coreference resolution Y Lu, H Lin, J Tang, X Han, L Sun Artificial Intelligence 303 (February 2022), 2022 | 28 | 2022 |
| Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition H Lin, Y Lu, X Han, S Le, B Done, S Jiang EMNLP-IJCNLP 2019, 6233-6238, 2019 | 26 | 2019 |
| Shortgpt: Layers in large language models are more redundant than you expect X Men, M Xu, Q Zhang, B Wang, H Lin, Y Lu, X Han, W Chen arXiv preprint arXiv:2403.03853, 2024 | 24 | 2024 |
| A drop of ink may make a million think: The spread of false information in large language models N Bian, P Liu, X Han, H Lin, Y Lu, B He, L Sun arXiv preprint arXiv:2305.04812, 2023 | 24 | 2023 |
| Learning In-context Learning for Named Entity Recognition J Chen, Y Lu, H Lin, J Lou, W Jia, D Dai, H Wu, B Cao, X Han, L Sun ACL 2023, 13661–13675, 2023 | 22 | 2023 |
| Mitigating large language model hallucinations via autonomous knowledge graph-based retrofitting X Guan, Y Liu, H Lin, Y Lu, B He, X Han, L Sun AAAI 2024, 18126-18134, 2024 | 21 | 2024 |
| From Discourse to Narrative: Knowledge Projection for Event Relation Extraction J Tang, H Lin, M Liao, Y Lu, X Han, L Sun, W Xie, J Xu ACL-IJCNLP 2021, 732-742, 2021 | 21 | 2021 |
| Cost-sensitive Regularization for Label Confusion-aware Event Detection H Lin, Y Lu, X Han, L Sun ACL 2019, 5278-5283, 2019 | 20 | 2019 |
| Adaptive Scaling for Sparse Detection in Information Extraction H Lin, Y Lu, X Han, L Sun ACL 2018, 1033-1043, 2018 | 13 | 2018 |
Han XianpeiProfessor, Institute of Software, Chinese Academy of SciencesVerified email at iscas.ac.cn
