| Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy B Yu, Z Zhang, X Shu, Y Wang, T Liu, B Wang, S Li Proceedings of the 24th European Conference on Artificial Intelligence, 2020 | 105 | 2020 |
| HIN: Hierarchical Inference Network for Document-Level Relation Extraction H Tang, Y Cao, Z Zhang, J Cao, F Fang, S Wang, P Yin Proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and …, 2020 | 79 | 2020 |
| Joint Entity Linking with Deep Reinforcement Learning Z Fang, Y Cao, Q Li, D Zhang, Z Zhang, Y Liu Proceedings of the Web Conference 2019, 438-447, 2019 | 74 | 2019 |
| Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation S Cui, B Yu, T Liu, Z Zhang, X Wang, J Shi Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 73 | 2020 |
| Beyond Word Attention: Using Segment Attention in Neural Relation Extraction B Yu, Z Zhang, T Liu, B Wang, S Li, Q Li Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 47 | 2019 |
| Coarse-to-Fine Pre-training for Named Entity Recognition M Xue, B Yu, Z Zhang, T Liu, Y Zhang, B Wang Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 33 | 2020 |
| Document-Level Relation Extraction with Dual-Tier Heterogeneous Graph Z Zhang, B Yu, X Shu, T Liu, H Tang, W Yubin, L Guo Proceedings of the 28th International Conference on Computational …, 2020 | 29 | 2020 |
| Distilling Knowledge from Well-informed Soft Labels for Neural Relation Extraction Z Zhang, X Shu, B Yu, T Liu, J Zhao, Q Li, L Guo Proceedings of the 34th AAAI Conference on Artificial Intelligence, 9620-9627, 2020 | 25 | 2020 |
| High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking Z Fang, Y Cao, R Li, Z Zhang, Y Liu, S Wang Proceedings of the Web Conference 2020, 640-650, 2020 | 24 | 2020 |
| Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction B Yu, M Xue, Z Zhang, T Liu, W Yubin, B Wang Proceedings of the 28th International Conference on Computational …, 2020 | 18 | 2020 |
| ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts Z Feng, Z Zhang, X Yu, Y Fang, L Li, X Chen, Y Lu, J Liu, W Yin, S Feng, ... arXiv preprint arXiv:2210.15257, 2022 | 10 | 2022 |
| Semi-Open Information Extraction B Yu, Z Zhang, J Sheng, T Liu, Y Wang, Y Wang, B Wang Proceedings of the Web Conference 2021, 1661-1672, 2021 | 9 | 2021 |
| Enhancing chinese pre-trained language model via heterogeneous linguistics graph Y Li, J Cao, X Cong, Z Zhang, B Yu, H Zhu, T Liu Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 4 | 2022 |
| Improving distantly-supervised named entity recognition with self-collaborative denoising learning X Zhang, B Yu, T Liu, Z Zhang, J Sheng, M Xue, H Xu arXiv preprint arXiv:2110.04429, 2021 | 4 | 2021 |
| Joint Entity Linking and Relation Extraction with Neural Networks for Knowledge Base Population Z Zhang, X Shu, T Liu, Z Fang, Q Li Proceedings of the 2020 International Joint Conference on Neural Networks, 1-8, 2020 | 4 | 2020 |
| Layout-aware information extraction for document-grounded dialogue: Dataset, method and demonstration Z Zhang, B Yu, H Yu, T Liu, C Fu, J Li, C Tang, J Sun, Y Li Proceedings of the 30th ACM International Conference on Multimedia, 7252-7260, 2022 | 3 | 2022 |
| BiG-Transformer: Integrating Hierarchical Features for Transformer via Bipartite Graph X Shu, M Xue, Y Li, Z Zhang, T Liu Proceedings of the 2020 International Joint Conference on Neural Networks, 1-8, 2020 | 3 | 2020 |
| ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding Q Peng, Y Pan, W Wang, B Luo, Z Zhang, Z Huang, T Hu, W Yin, Y Chen, ... Findings of the Association for Computational Linguistics: EMNLP 2022, 2022 | 2 | 2022 |
| NA-Aware Machine Reading Comprehension for Document-Level Relation Extraction Z Zhang, B Yu, X Shu, T Liu Proceedings of the 2021 European Conference on Machine Learning and …, 2021 | 2 | 2021 |
| DRG2vec: Learning Word Representations from Definition Relational Graph X Shu, B Yu, Z Zhang, T Liu Proceedings of the 2020 International Joint Conference on Neural Networks, 1-9, 2020 | 2 | 2020 |
Tingwen LiuFull Professor of Institute of Information Engineering, Chinese Academy of SciencesVerified email at iie.ac.cn
