| Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy B Yu, Z Zhang, X Shu arXiv preprint arXiv:1909.04273v3, 2019 | 72 | 2019 |
| Tplinker: Single-stage joint extraction of entities and relations through token pair linking Y Wang, B Yu, Y Zhang, T Liu, H Zhu, L Sun arXiv preprint arXiv:2010.13415, 2020 | 48 | 2020 |
| Beyond Word Attention: Using Segment Attention in Neural Relation Extraction. B Yu, Z Zhang, T Liu, B Wang, S Li, Q Li IJCAI, 5401-5407, 2019 | 41 | 2019 |
| Edge-enhanced graph convolution networks for event detection with syntactic relation S Cui, B Yu, T Liu, Z Zhang, X Wang, J Shi arXiv preprint arXiv:2002.10757, 2020 | 34* | 2020 |
| Coarse-to-fine pre-training for named entity recognition M Xue, B Yu, Z Zhang, T Liu, Y Zhang, B Wang arXiv preprint arXiv:2010.08210, 2020 | 20 | 2020 |
| Porous lattice transformer encoder for Chinese NER X Mengge, B Yu, T Liu, Y Zhang, E Meng, B Wang Proceedings of the 28th International Conference on Computational …, 2020 | 17* | 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 AAAI Conference on Artificial Intelligence 34 (05), 9620-9627, 2020 | 16 | 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 | 11 | 2020 |
| Enhancing pre-trained Chinese character representation with word-aligned attention Y Li, B Yu, M Xue, T Liu arXiv preprint arXiv:1911.02821, 2019 | 11 | 2019 |
| Inductive unsupervised domain adaptation for few-shot classification via clustering X Cong, B Yu, T Liu, S Cui, H Tang, B Wang Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | 10 | 2020 |
| Learning to prune dependency trees with rethinking for neural relation extraction B Yu, X Mengge, Z Zhang, T Liu, W Yubin, B Wang Proceedings of the 28th International Conference on Computational …, 2020 | 7 | 2020 |
| Few-shot event detection with prototypical amortized conditional random field X Cong, S Cui, B Yu, T Liu, Y Wang, B Wang arXiv preprint arXiv:2012.02353, 2020 | 6 | 2020 |
| 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 | 5 | 2021 |
| Casee: A joint learning framework with cascade decoding for overlapping event extraction J Sheng, S Guo, B Yu, Q Li, Y Hei, L Wang, T Liu, H Xu arXiv preprint arXiv:2107.01583, 2021 | 4 | 2021 |
| Discontinuous named entity recognition as maximal clique discovery Y Wang, B Yu, H Zhu, T Liu, N Yu, L Sun arXiv preprint arXiv:2106.00218, 2021 | 4 | 2021 |
| Label enhanced event detection with heterogeneous graph attention networks S Cui, B Yu, X Cong, T Liu, Q Li, J Shi arXiv preprint arXiv:2012.01878, 2020 | 4 | 2020 |
| Porous lattice-based transformer encoder for chinese ner M Xue, B Yu, T Liu, B Wang, E Meng, Q Li arXiv preprint arXiv:1911.02733, 2019 | 4 | 2019 |
| FITAnnotator: A Flexible and Intelligent Text Annotation System Y Li, B Yu, L Quangang, T Liu Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 3 | 2021 |
| Maximal Clique Based Non-Autoregressive Open Information Extraction B Yu, Y Wang, T Liu, H Zhu, L Sun, B Wang Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 1 | 2021 |
| A joint learning framework for the CCKS-2020 financial event extraction task J Sheng, Q Li, Y Hei, S Guo, B Yu, L Wang, M He, T Liu, H Xu Data Intelligence 3 (3), 444-459, 2021 | 1 | 2021 |
Tingwen LiuFull Professor of Institute of Information Engineering, Chinese Academy of SciencesVerified email at iie.ac.cn
