| Learning Entity and Relation Embeddings for Knowledge Graph Completion L Yankai, L Zhiyuan, S Maosong, L Yang, Z Xuan The 29th AAAI Conference on Artificial Intelligence, 2015 | 4644 | 2015 |
| Neural relation extraction with selective attention over instances Y Lin, S Shen, Z Liu, H Luan, M Sun Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 1268 | 2016 |
| Measuring and relieving the over-smoothing problem for graph neural networks from the topological view D Chen, Y Lin, W Li, P Li, J Zhou, X Sun Proceedings of the AAAI conference on artificial intelligence 34 (04), 3438-3445, 2020 | 1249 | 2020 |
| A survey on large language model based autonomous agents L Wang, C Ma, X Feng, Z Zhang, H Yang, J Zhang, Z Chen, J Tang, ... Frontiers of Computer Science 18 (6), 186345, 2024 | 894 | 2024 |
| Modeling relation paths for representation learning of knowledge bases Y Lin, Z Liu, M Sun Proceedings of EMNLP, 2015 | 804 | 2015 |
| 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 ACL 2019, 2019 | 628 | 2019 |
| Toolllm: Facilitating large language models to master 16000+ real-world apis Y Qin, S Liang, Y Ye, K Zhu, L Yan, Y Lu, Y Lin, X Cong, X Tang, B Qian, ... arXiv preprint arXiv:2307.16789, 2023 | 473 | 2023 |
| 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 |
| Neural sentiment classification with user and product attention H Chen, M Sun, C Tu, Y Lin, Z Liu Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 396 | 2016 |
| 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 EMNLP 2020, 2020 | 211 | 2020 |
| Coreferential Reasoning Learning for Language Representation D Ye, Y Lin, J Du, Z Liu, M Sun, Z Liu EMNLP 2020, 2020 | 200 | 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 EMNLP 2020, 2020 | 197 | 2020 |
| Denoising distantly supervised open-domain question answering Y Lin, H Ji, Z Liu, M Sun Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 196 | 2018 |
| Graph neural networks with generated parameters for relation extraction H Zhu, Y Lin, Z Liu, J Fu, T Chua, M Sun ACL, 2019 | 178 | 2019 |
| 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 AACL 2020, 2020 | 175 | 2020 |
| Representation learning for natural language processing Z Liu, Y Lin, M Sun Springer Nature, 2023 | 164 | 2023 |
| Packed levitated marker for entity and relation extraction D Ye, Y Lin, P Li, M Sun arXiv preprint arXiv:2109.06067, 2021 | 158 | 2021 |
| On transferability of prompt tuning for natural language processing Y Su, X Wang, Y Qin, CM Chan, Y Lin, H Wang, K Wen, Z Liu, P Li, J Li, ... arXiv preprint arXiv:2111.06719, 2021 | 146 | 2021 |
| ERICA: Improving entity and relation understanding for pre-trained language models via contrastive learning Y Qin, Y Lin, R Takanobu, Z Liu, P Li, H Ji, M Huang, M Sun, J Zhou arXiv preprint arXiv:2012.15022, 2020 | 133 | 2020 |
| Numnet: Machine reading comprehension with numerical reasoning Q Ran, Y Lin, P Li, J Zhou, Z Liu EMNLP, 2019 | 131 | 2019 |
Zhiyuan LiuAssociate Professor, Tsinghua University在 tsinghua.edu.cn 的電子郵件地址已通過驗證
