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This paper presents a neural relation extraction method to deal with the noisy training data generated by distant supervision.
Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 1958
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Dependency tree kernels for relation extraction
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Subsequence kernels for relation extraction
Raymond J Mooney and Razvan C Bunescu. 2006 · 2006
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Distant supervision for relation extraction without labeled data
Mike Mintz, Steven Bills, Rion Snow, and Dan Jurafsky. 2009 · 2009
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Modeling relations and their mentions without labeled text
Sebastian Riedel, Limin Yao, and Andrew McCallum. 2010 · 2010
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Knowledge-based weak supervision for information extraction of overlapping relations
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Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati, and Christopher D. Manning. 2012 · 2012
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Relation classification via convolutional deep neural network
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. 2015 · 2015
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Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, and Maosong Sun. 2016 · 2016
Distant supervision for relation extraction with sentence-level attention and entity descriptions
Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao, et al. 2017 · 2017
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A soft-label method for noise-tolerant distantly supervised relation extraction
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 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 · 2018
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Improving distantly supervised relation extraction using word and entity based attention
Sharmistha Jat, Siddhesh Khandelwal, and Partha Talukdar. 2018 · 2018
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Dsgan: Generative adversarial training for distant supervision relation extraction
Pengda Qin, Weiran XU, and William Yang Wang. 2018a
Cited in the paper.
Robust distant supervision relation extraction via deep reinforcement learning
Pengda Qin, Weiran XU, and William Yang Wang. 2018b
Cited in the paper.