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Document-level relation extraction aims to extract relations among multiple entity pairs from a document.
Modeling joint entity and relation extraction with table representation
Makoto Miwa and Yutaka Sasaki · 2014
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Relation extraction: Perspective from convolutional neural networks
Thien Huu Nguyen and Ralph Grishman · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Distant supervision for relation extraction via piecewise convolutional neural networks
Daojian Zeng, Kang Liu, Yubo Chen, and Jun Zhao · 2015
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Table filling multi-task recurrent neural network for joint entity and relation extraction
Pankaj Gupta, Hinrich Schütze, and Bernt Andrassy · 2016
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Biocreative v cdr task corpus: a resource for chemical disease relation extraction
J. Li, Yueping Sun, Robin J. Johnson, Daniela Sciaky, Chih-Hsuan Wei, Robert Leaman, A. P. Davis, C. Mattingly, Thomas C. Wiegers, and Zhiyong Lu · 2016
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Attention-based convolutional neural network for semantic relation extraction
Yatian Shen and Xuanjing Huang · 2016
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Cross-sentence n-ary relation extraction with graph lstms
Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, and Wen tau Yih · 2017
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Reinforcement learning for relation classification from noisy data
Jun Feng, Minlie Huang, Li Zhao, Yang Yang, and Xiaoyan Zhu · 2018
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Simultaneously self-attending to all mentions for full-abstract biological relation extraction
Pat Verga, Emma Strubell, and Andrew McCallum · 2018
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Attention-based capsule networks with dynamic routing for relation extraction
Ningyu Zhang, Shumin Deng, Zhanlin Sun, Xi Chen, Wei Zhang, and Huajun Chen · 2018
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Scibert: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan · 2019
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Connecting the dots: Document-level neural relation extraction with edge-oriented graphs
Fenia Christopoulou, Makoto Miwa, and Sophia Ananiadou · 2019
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Document-level n-ary relation extraction with multiscale representation learning
Robin Jia, Cliff Wong, and Hoifung Poon · 2019
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Generalizing natural language analysis through span-relation representations
Zhengbao Jiang, Wei Xu, Jun Araki, and Graham Neubig · 2019
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Fine-tune bert for docred with two-step process
Hong Wang, Christfried Focke, Rob Sylvester, Nilesh Mishra, and William W. J. Wang · 2019
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Renet: A deep learning approach for extracting gene-disease associations from literature
Y. Wu, Ruibang Luo, H. Leung, H. Ting, and T. Lam · 2019
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Docred: A large-scale document-level relation extraction dataset
Yuan Yao, D. Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Z. Liu, Lixin Huang, Jie Zhou, and M. Sun · 2019
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Long-tail relation extraction via knowledge graph embeddings and graph convolution networks
Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang, and Huajun Chen · 2019
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Relation of the relations: A new paradigm of the relation extraction problem
Zhijing Jin, Yongyi Yang, Xipeng Qiu, and Zheng Zhang · 2020
Bridging text and knowledge with multi-prototype embedding for few-shot relational triple extraction
Haiyang Yu, Ningyu Zhang, Shumin Deng, Hongbin Ye, Wei Zhang, and Huajun Chen · 2020
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Double graph based reasoning for document-level relation extraction
Shuang Zeng, Runxin Xu, Baobao Chang, and Lei Li · 2020
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Openue: An open toolkit of universal extraction from text
Ningyu Zhang, Shumin Deng, Zhen Bi, Haiyang Yu, Jiacheng Yang, Mosha Chen, Fei Huang, Wei Zhang, and Huajun Chen · 2020
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Relation adversarial network for low resource knowledge graph completion
Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoyan Chen, Wei Zhang, and Huajun Chen · 2020
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Document-level relation extraction with dual-tier heterogeneous graph
Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Tingwen Liu, Hengzhu Tang, Wang Yubin, and Li Guo · 2020
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Graph enhanced dual attention network for document-level relation extraction
Bo Li, Wei Ye, Zhonghao Sheng, Rui Xie, Xiangyu Xi, and Shikun Zhang · 2020
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Incomplete utterance rewriting as semantic segmentation
Qian Liu, Bei Chen, Jian-Guang Lou, Bin Zhou, and Dongmei Zhang · 2020
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Reasoning with latent structure refinement for document-level relation extraction
G. Nan, Zhijiang Guo, Ivan Sekulic, and W. Lu · 2020
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Extend ”softmax+cross entropy” to multi-label classification problem, 2020
Jianlin Su · 2020
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Circle loss: A unified perspective of pair similarity optimization
Yifan Sun, Changmao Cheng, Yuhan Zhang, Chi Zhang, Liang Zheng, Zhongdao Wang, and Yichen Wei · 2020
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Hin: Hierarchical inference network for document-level relation extraction
Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, and Pengfei Yin · 2020
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Global-to-local neural networks for document-level relation extraction
Difeng Wang, Wei Hu, Ermei Cao, and Weijian Sun · 2020
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Global context-enhanced graph convolutional networks for document-level relation extraction
Huiwei Zhou, Yibin Xu, Weihong Yao, Zhe Liu, Chengkun Lang, and Haibin Jiang · 2020
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Adaprompt: Adaptive prompt-based finetuning for relation extraction
Xiang Chen, Xin Xie, Ningyu Zhang, Jiahuan Yan, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, and Huajun Chen · 2021
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Curriculum-meta learning for order-robust continual relation extraction
Tongtong Wu, Xuekai Li, Yuan-Fang Li, Reza Haffari, Guilin Qi, Yujin Zhu, and Guoqiang Xu · 2021
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Document-level relation extraction with reconstruction
Wang Xu, Kehai Chen, and Tiejun Zhao · 2021
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Contrastive triple extraction with generative transformer
Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, and Huajun Chen · 2021
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Alicg: Fine-grained and evolvable conceptual graph construction for semantic search at alibaba
Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, and Huajun Chen · 2021
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Causerec: Counterfactual user sequence synthesis for sequential recommendation
Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-Seng Chua, and Fei Wu · 2021
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Prgc: Potential relation and global correpondence based joint relational triple extraction
Hengyi Zheng, Rui Wen, Xi Chen, Yifan Yang, Yunnan Zhang, Ziheng Zhang, Ningyu Zhang, Bin Qin, Xu Ming, and Yefeng Zheng · 2021
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Document-level relation extraction with adaptive thresholding and localized context pooling
Wenxuan Zhou, Kevin Huang, Tengyu Ma, and Jing Huang · 2021
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