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 | 176 | 2021 |
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 | 154 | 2022 |
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 | 127 | 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 | 103 | 2019 |
Variational recurrent neural machine translation J Su, S Wu, D Xiong, Y Lu, X Han, B Zhang AAAI 2018, 5488-5495, 2018 | 88 | 2018 |
Nugget Proposal Networks for Chinese Event Detection H Lin, Y Lu, X Han, L Sun ACL 2018, 1565-1574, 2018 | 87 | 2018 |
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 | 50 | 2019 |
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 arXiv preprint arXiv:2303.16421, 2023 | 34 | 2023 |
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 | 32 | 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 | 30 | 2019 |
End-to-end neural event coreference resolution Y Lu, H Lin, J Tang, X Han, L Sun Artificial Intelligence 303 (February 2022), 2022 | 24 | 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 | 23 | 2019 |
Cost-sensitive Regularization for Label Confusion-aware Event Detection H Lin, Y Lu, X Han, L Sun ACL 2019, 5278-5283, 2019 | 17 | 2019 |
Adaptive Scaling for Sparse Detection in Information Extraction H Lin, Y Lu, X Han, L Sun ACL 2018, 1033-1043, 2018 | 14 | 2018 |
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 | 12 | 2021 |
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 | 7 | 2023 |
Syntactic and Semantic-driven Learning for Open Information Extraction J Tang, Y Lu, H Lin, X Han, L Sun, X Xiao, H Wu Findings of EMNLP 2020, 782-792, 2020 | 7 | 2020 |
ISCAS at semeval-2020 task 5: Pre-trained transformers for counterfactual statement modeling Y Lu, A Li, H Lin, X Han, L Sun SemEval 2020, 658-663, 2020 | 5 | 2020 |
Exploring implicit semantic constraints for bilingual word embeddings J Su, Z Song, Y Lu, M Xu, C Wu, Y Chen Neural Processing Letters 48, 1073-1088, 2018 | 4 | 2018 |
Cross-lingual implicit discourse relation recognition with co-training Y Lu, M Xu, C Wu, D Xiong, H Wang, J Su Frontiers of Information Technology & Electronic Engineering 19 (5), 651-661, 2018 | 4 | 2018 |