Zhenyu Zhang (张振宇)
Title
Cited by
Cited by
Year
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
412019
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
372020
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
302020
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
302019
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
18*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
122020
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
92020
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
92020
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
52020
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
32020
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
22021
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
12020
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
2021
Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction
H Tang, Y Cao, Z Zhang, R Jia, F Fang, S Wang
Proceedings of the 2021 IEEE International Conference on Acoustics, Speech …, 2021
2021
From What to Why: Improving Relation Extraction with Rationale Graph
Z Zhang, B Yu, X Shu, M Xue, T Liu, L Guo
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021
2021
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
2021
Fine-Grained Semantics-Aware Heterogeneous Graph Neural Networks
Y Wang, Z Zhang, T Liu, H Xu, J Wang, L Guo
Proceedings of the 21st International Conference on Web Information Systems …, 2020
2020
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
2020
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
2020
SLGAT: Soft Labels Guided Graph Attention Networks
Y Wang, Z Zhang, T Liu, L Guo
Proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and …, 2020
2020
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Articles 1–20