| 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 | 1803 | 2019 |
| 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 | 902 | 2021 |
| 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 | 726 | 2018 |
| 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 | 628 | 2019 |
| PTR: Prompt Tuning with Rules for Text Classification X Han, W Zhao, N Ding, Z Liu, M Sun AI Open, 2022 | 511 | 2022 |
| 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 …, 2022 | 467 | 2022 |
| 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 | 430 | 2018 |
| 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 | 417 | 2019 |
| 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 | 293 | 2019 |
| 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 | 240 | 2019 |
| 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 | 232 | 2021 |
| 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 | 211 | 2020 |
| 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 | 197 | 2020 |
| 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 | 192 | 2019 |
| 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 | 182 | 2018 |
| 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 | 175 | 2020 |
| 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 | 175 | 2019 |
| 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 | 171 | 2018 |
| MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies S Hu, Y Tu, X Han, C He, G Cui, X Long, Z Zheng, Y Fang, Y Huang, ... Proceedings of the First Conference on Language Modeling, 2024 | 165 | 2024 |
| 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 | 165 | 2021 |
Zhiyuan LiuAssociate Professor, Tsinghua University在 tsinghua.edu.cn 的電子郵件地址已通過驗證
