Követés
Yaojie Lu
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
4522022
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
3102021
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
1382015
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
1262023
Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks
H Lin, Y Lu, X Han, L Sun
ACL 2019, 5182-5192, 2019
1242019
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
1212024
Nugget Proposal Networks for Chinese Event Detection
H Lin, Y Lu, X Han, L Sun
ACL 2018, 1565-1574, 2018
992018
Variational recurrent neural machine translation
J Su, S Wu, D Xiong, Y Lu, X Han, B Zhang
AAAI 2018, 5488-5495, 2018
952018
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
672024
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
612023
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
602019
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
432020
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
372019
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
332023
End-to-end neural event coreference resolution
Y Lu, H Lin, J Tang, X Han, L Sun
Artificial Intelligence 303 (February 2022), 2022
322022
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
282021
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
282019
A drop of ink makes 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 1, 2023
272023
Cost-sensitive Regularization for Label Confusion-aware Event Detection
H Lin, Y Lu, X Han, L Sun
ACL 2019, 5278-5283, 2019
212019
Adaptive Scaling for Sparse Detection in Information Extraction
H Lin, Y Lu, X Han, L Sun
ACL 2018, 1033-1043, 2018
132018
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Cikkek 1–20