| 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 | 2065 | 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 | 801 | 2016 |
| Modeling relation paths for representation learning of knowledge bases Y Lin, Z Liu, M Sun Proceedings of EMNLP, 2015 | 461 | 2015 |
| 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 | 280 | 2016 |
| 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 | 172 | 2018 |
| 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 | 147 | 2020 |
| 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 | 124 | 2019 |
| 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 | 122 | 2018 |
| Neural relation extraction with multi-lingual attention Y Lin, Z Liu, M Sun Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 87 | 2017 |
| Knowledge representation learning: a review L Zhiyuan, S Maosong, L Yankai, X Ruobing Journal of Computer Research and Development 53 (2), 247, 2016 | 86 | 2016 |
| Incorporating relation paths in neural relation extraction W Zeng, Y Lin, Z Liu, M Sun EMNLP, 2016 | 70 | 2016 |
| Knowledge Representation Learning with Entities, Attributes and Relations Y Lin, Z Liu, M Sun Proceeding of IJCAI 1, 41.52, 2016 | 66 | 2016 |
| Graph neural networks with generated parameters for relation extraction H Zhu, Y Lin, Z Liu, J Fu, T Chua, M Sun ACL, 2019 | 53 | 2019 |
| XQA: A cross-lingual open-domain question answering dataset J Liu, Y Lin, Z Liu, M Sun Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 39 | 2019 |
| Coreferential Reasoning Learning for Language Representation D Ye, Y Lin, J Du, Z Liu, M Sun, Z Liu EMNLP 2020, 2020 | 37 | 2020 |
| Recent Advances on Neural Headline Generation Ayana, S Shen, Y Lin, C Tu, Y Zhao, Z Liu, M Sun Journal of Computer Science and Technology 32 (4), 768-784, 2017 | 35 | 2017 |
| Numnet: Machine reading comprehension with numerical reasoning Q Ran, Y Lin, P Li, J Zhou, Z Liu EMNLP, 2019 | 34 | 2019 |
| Improving Neural Fine-Grained Entity Typing with Knowledge Attention J Xin, Y Lin, Z Liu, M Sun Proceedings of AAAI 2018, 2018 | 33 | 2018 |
| 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 | 31 | 2020 |
| Adversarial multi-lingual neural relation extraction X Wang, X Han, Y Lin, Z Liu, M Sun Proceedings of the 27th International Conference on Computational …, 2018 | 29 | 2018 |
Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
