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Xu Han
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ERNIE: Enhanced Language Representation with Informative Entities
Z Zhang, X Han, Z Liu, X Jiang, M Sun, Q Liu
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
15682019
Pre-trained Models: Past, Present and Future
X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ...
AI Open 2, 225-250, 2021
6362021
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
X Han, H Zhu, P Yu, Z Wang, Y Yao, Z Liu, M Sun
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
6342018
DocRED: A Large-Scale Document-Level Relation Extraction Dataset
Y Yao, D Ye, P Li, X Han, Y Lin, Z Liu, Z Liu, L Huang, J Zhou, M Sun
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
5052019
PTR: Prompt Tuning with Rules for Text Classification
X Han, W Zhao, N Ding, Z Liu, M Sun
AI Open, 2022
4042022
OpenKE: An Open Toolkit for Knowledge Embedding
X Han, S Cao, X Lv, Y Lin, Z Liu, M Sun, J Li
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
3902018
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification
T Gao, X Han, Z Liu, M Sun
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence …, 2019
3752019
PPT: Pre-trained Prompt Tuning for Few-shot Learning
Y Gu, X Han, Z Liu, M Huang
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2021
3662021
FewRel 2.0: Towards More Challenging Few-shot Relation Classification
T Gao, X Han, H Zhu, Z Liu, P Li, M Sun, J Zhou
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
2572019
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification
J Zhou, X Han, C Yang, Z Liu, L Wang, C Li, M Sun
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
2102019
Few-NERD: A Few-Shot Named Entity Recognition Dataset
N Ding, G Xu, Y Chen, X Wang, X Han, P Xie, HT Zheng, Z Liu
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
1852021
Learning from Context or Names? An Empirical Study on Neural Relation Extraction
H Peng, T Gao, X Han, Y Lin, P Li, Z Liu, M Sun, J Zhou
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
1852020
Tool learning with foundation models
Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui, Z Zeng, Y Huang, C Xiao, ...
arXiv preprint arXiv:2304.08354, 2023
1762023
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction
X Han, T Gao, Y Yao, D Ye, Z Liu, M Sun
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
1752019
Neural Knowledge Acquisition via Mutual Attention between Knowledge Graph and Text
X Han, Z Liu, M Sun
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence …, 2018
1712018
MAVEN: A Massive General Domain Event Detection Dataset
X Wang, Z Wang, X Han, W Jiang, R Han, Z Liu, J Li, P Li, Y Lin, J Zhou
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
1682020
Adversarial Training for Weakly Supervised Event Detection
X Wang, X Han, Z Liu, M Sun, P Li
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
1652019
Hierarchical Relation Extraction with Coarse-to-fine Grained Attention
X Han, P Yu, Z Liu, M Sun, P Li
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
1652018
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction
X Han, T Gao, Y Lin, H Peng, Y Yang, C Xiao, Z Liu, P Li, M Sun, J Zhou
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020
1472020
Prompt-Learning for Fine-grained Entity Typing
N Ding, Y Chen, X Han, G Xu, P Xie, HT Zheng, Z Liu, J Li, HG Kim
Findings of the Association for Computational Linguistics: EMNLP 2022, 2021
1262021
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