The following publications are possibly variants of this publication:
- Utilizing Entity-Based Gated Convolution and Multilevel Sentence Attention to Improve Distantly Supervised Relation ExtractionQian Yi, Guixuan Zhang, Shuwu Zhang. cin, 2021, 2021. [doi]
- Attention-Based Gated Convolutional Neural Networks for Distant Supervised Relation ExtractionXingya Li, Yufeng Chen, Jinan Xu, Yujie Zhang. cncl 2019: 246-257 [doi]
- Distant Supervision for Relation Extraction with Neural Instance SelectorYubo Chen 0002, Hongtao Liu, Chuhan Wu, Zhigang Yuan, Minyu Jiang, Yongfeng Huang. nlpcc 2018: 209-220 [doi]
- Improving Graph Convolutional Networks Based on Relation-Aware Attention for End-to-End Relation ExtractionYin Hong, Yanxia Liu, Suizhu Yang, Kaiwen Zhang 0004, Aiqing Wen, Jianjun Hu. access, 8:51315-51323, 2020. [doi]
- Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal SelectorShanchan Wu, Kai Fan, Qiong Zhang. AAAI 2019: 7273-7280 [doi]
- Selection gate-based networks for semantic relation extractionJun Sun, Yan Li, Yatian Shen, Lei Zhang, Wenke Ding, Xianjin Shi, Xiajiong Shen, Guilin Qi, Jing He. ijes, 14(3):211-217, 2021. [doi]
- Improve relation extraction with dual attention-guided graph convolutional networksZhixin Li, Yaru Sun, Jianwei Zhu, Suqin Tang, Canlong Zhang, Huifang Ma. nca, 33(6):1773-1784, 2021. [doi]
- Graph Convolution over Pruned Dependency Trees Improves Relation ExtractionYuhao Zhang, Peng Qi 0003, Christopher D. Manning. emnlp 2018: 2205-2215 [doi]
- Convolution Neural Network for Relation ExtractionChunyang Liu, Wenbo Sun, WenHan Chao, Wanxiang Che. adma 2013: 231-242 [doi]
- An Improved Relation Extraction Method Based on Information Control Injection and Attention-Guided Densely Connected Graph Convolutional NetworkZirui Zhang, Fanfang Meng, Xiaoxia Liu, Yuanhui Meng, Yiyu Yang, Benhui Chen. ijcnn 2023: 1-7 [doi]