Zhenyu ZHANG

My research interests lie within the intersection of Natural Language Processing (NLP), Knowledge Graphs (KG) and Information Extraction (IE).

Google Scholar / ORCID / DBLP

Publications

— 2020 —

Document-level Relation Extraction with Dual-tier Heterogeneous Graph
Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Tingwen Liu*, Hengzhu Tang, Yubin Wang, Li Guo
The 28th International Conference on Computational Linguistics (COLING 2020)

Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction
Bowen Yu, Mengge Xue, Zhenyu Zhang, Tingwen Liu*, Yubin Wang, Bin Wang
The 28th International Conference on Computational Linguistics (COLING 2020)

Coarse-to-Fine Pre-training for Named Entity Recognition
Mengge Xue, Bowen Yu, Zhenyu Zhang, Tingwen Liu*, Yue Zhang, Bin Wang
The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)

Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation
Shiyao Cui, Bowen Yu, Tingwen Liu*, Zhenyu Zhang, Xuebin Wang and Jinqiao Shi
Findings of the 2020 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2020)

Fine-grained Semantics-aware Heterogeneous Graph Neural Networks
Yubin Wang, Zhenyu Zhang, Tingwen Liu*, Hongbo Xu, Jingjing Wang, Li Guo
The 21st International Conference on Web Information Systems Engineering (WISE 2020)

Joint Entity Linking and Relation Extraction with Neural Networks for Knowledge Base Population
Zhenyu Zhang, Xiaobo Shu, Tingwen Liu*, Zheng Fang, Quangang Li
The 2020 International Joint Conference on Neural Networks (IJCNN 2020)
pp. 1-8.  

DRG2vec: Learning Word Representations from Definition Relational Graph
Xiaobo Shu, Bowen Yu, Zhenyu Zhang, Tingwen Liu*
The 2020 International Joint Conference on Neural Networks (IJCNN 2020)
pp. 1-9.  

BiG-Transformer: Integrating Hierarchical Features for Transformer via Bipartite Graph
Xiaobo Shu, Mengge Xue, Yanzeng Li, Zhenyu Zhang, Tingwen Liu*
The 2020 International Joint Conference on Neural Networks (IJCNN 2020)
pp. 1-8.  

Strong Baselines for Author Name Disambiguation with and without Neural Networks
Zhenyu Zhang, Bowen Yu, Tingwen Liu*, Dong Wang
The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020)
pp. 369-381.  

SLGAT: Soft Labels Guided Graph Attention Networks
Yubin Wang, Zhenyu Zhang, Tingwen Liu*, Li Guo
The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020)
pp. 512-523.  

HIN: Hierarchical Inference Network for Document-Level Relation Extraction
Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang*, Shi Wang, Pengfei Yin
The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020, Best Paper Award)
pp. 197-209.  

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy
Bowen Yu, Zhenyu Zhang, Xiaobo Shu, Tingwen Liu*, Yubin Wang, Bin Wang and Sujian Li
The 24th European Conference on Artificial Intelligence (ECAI 2020)
pp. 2282-2289.  

High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking
Zheng Fang, Yanan Cao*, Ren Li, Zhenyu Zhang, Yanbing Liu and Shi Wang
The Web Conference 2020 (WWW 2020)
pp. 640-650.  

Distilling Knowledge from Well-informed Soft Labels for Neural Relation Extraction
Zhenyu Zhang, Xiaobo Shu, Bowen Yu, Tingwen Liu*, Jiapeng Zhao, Quangang Li, Li Guo
The 34th AAAI Conference on Artificial Intelligence (AAAI 2020)
pp. 9620-9627.  

— 2019 —

Beyond Word Attention: Using Segment Attention in Neural Relation Extraction
Bowen Yu, Zhenyu Zhang, Tingwen Liu*, Bin Wang, Sujian Li and Quangang Li
The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019)
pp. 5401-5407.  

ICNet: Incorporating Indicator Words and Contexts to Identify Functional Description Information
Qu Liu, Zhenyu Zhang, Yanzeng Li, Tingwen Liu*, Diying Li, Jinqiao Shi
The 2019 International Joint Conference on Neural Networks (IJCNN 2019)
pp. 1-8.  

Joint Entity Linking with Deep Reinforcement Learning
Zheng Fang, Yanan Cao*, Qian Li, Dongjie Zhang, Zhenyu Zhang, Yanbing Liu
The Web Conference 2019 (WWW 2019)
pp. 438-447.