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Continual relation extraction (CRE) requires the model to continually learn new relations from class-incremental data streams.
Improving relation extraction by pre-trained language representations
Christoph Alt, Marc Hübner, and Leonhard Hennig. 2019 · 1906
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Kernel methods for relation extraction
Dmitry Zelenko, Chinatsu Aone, and Anthony Richardella. 2003 · 2003
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Exploring various knowledge in relation extraction
GuoDong Zhou, Jian Su, Jie Zhang, and Min Zhang. 2005 · 2005
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Distant supervision for relation extraction without labeled data
Mike Mintz, Steven Bills, Rion Snow, and Daniel Jurafsky. 2009 · 2009
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Relation extraction with matrix factorization and universal schemas
Sebastian Riedel, Limin Yao, Andrew McCallum, and Benjamin M. Marlin. 2013 · 2013
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Relation classification via convolutional deep neural network
Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou, and Jun Zhao. 2014 · 2014
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Improved relation extraction with feature-rich compositional embedding models
Matthew R. Gormley, Mo Yu, and Mark Dredze. 2015 · 2015
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Classifying relations via long short term memory networks along shortest dependency paths
Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, and Zhi Jin. 2015a · 2015
Earlier work this paper cites.
Classifying relations via long short term memory networks along shortest dependency paths
Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, and Zhi Jin. 2015b · 2015
Earlier work this paper cites.
Distant supervision for relation extraction via piecewise convolutional neural networks
Daojian Zeng, Kang Liu, Yubo Chen, and Jun Zhao. 2015 · 2015
Earlier work this paper cites.
Neural relation extraction with selective attention over instances
Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, and Maosong Sun. 2016 · 2016
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End-to-end relation extraction using LSTMs on sequences and tree structures
Makoto Miwa and Mohit Bansal. 2016 · 2016
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Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, et al. 2017 · 2017
Cited alongside, same era.
Learning without forgetting
Zhizhong Li and Derek Hoiem. 2017 · 2017
Cited alongside, same era.
Gradient episodic memory for continual learning
David Lopez-Paz and Marc’Aurelio Ranzato. 2017 · 2017
Cited alongside, same era.
Continual learning in generative adversarial nets
Ari Seff, Alex Beatson, Daniel Suo, and Han Liu. 2017 · 2017
Cited alongside, same era.
Continual learning with deep generative replay
Hanul Shin, Jung Kwon Lee, Jaehong Kim, and Jiwon Kim. 2017 · 2017
Cited alongside, same era.
Position-aware attention and supervised data improve slot filling
Overcoming catastrophic forgetting with hard attention to the task
Joan Serra, Didac Suris, Marius Miron, and Alexandros Karatzoglou. 2018 · 2018
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Graph convolution over pruned dependency trees improves relation extraction
Yuhao Zhang, Peng Qi, and Christopher D. Manning. 2018 · 2018
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Matching the blanks: Distributional similarity for relation learning
Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, and Tom Kwiatkowski. 2019 · 2019
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Striking the right balance with uncertainty
Salman Khan, Munawar Hayat, Syed Waqas Zamir, Jianbing Shen, and Ling Shao. 2019 · 2019
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Reet: Joint relation extraction and entity typing via multi-task learning
Hongtao Liu, Peiyi Wang, Fangzhao Wu, Pengfei Jiao, Wenjun Wang, Xing Xie, and Yueheng Sun. 2019 · 2019
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Sentence embedding alignment for lifelong relation extraction
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Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, and Christopher D. Manning. 2017 · 2017
Cited alongside, same era.
Memory aware synapses: Learning what (not) to forget
Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, and Tinne Tuytelaars. 2018 · 2018
Cited alongside, same era.
Hierarchical relation extraction with coarse-to-fine grained attention
Xu Han, Pengfei Yu, Zhiyuan Liu, Maosong Sun, and Peng Li. 2018a · 2018
Cited alongside, same era.
FewRel: A large-scale supervised few-shot relation classification dataset with state-of-the-art evaluation
Xu Han, Hao Zhu, Pengfei Yu, Ziyun Wang, Yuan Yao, Zhiyuan Liu, and Maosong Sun. 2018b · 2018
Cited alongside, same era.
Progressive neural architecture search
Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, and Kevin Murphy. 2018 · 2018
Cited alongside, same era.
Piggyback: Adapting a single network to multiple tasks by learning to mask weights
Arun Mallya, Dillon Davis, and Svetlana Lazebnik. 2018 · 2018
Cited alongside, same era.
Packnet: Adding multiple tasks to a single network by iterative pruning
Arun Mallya and Svetlana Lazebnik. 2018 · 2018
Cited alongside, same era.
Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, and William Yang Wang. 2019 · 2019
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Continual lifelong learning in natural language processing: A survey
Magdalena Biesialska, Katarzyna Biesialska, and Marta R. Costa-jussà. 2020 · 2020
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Continual relation learning via episodic memory activation and reconsolidation
Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, and Jie Zhou. 2020 · 2020
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Adjusting decision boundary for class imbalanced learning
Byungju Kim and Junmo Kim. 2020 · 2020
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Refining sample embeddings with relation prototypes to enhance continual relation extraction
Li Cui, Deqing Yang, Jiaxin Yu, Chengwei Hu, Jiayang Cheng, Jingjie Yi, and Yanghua Xiao. 2021 · 2021
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Curriculum-meta learning for order-robust continual relation extraction
Tongtong Wu, Xuekai Li, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Yujin Zhu, and Guoqiang Xu. 2021 · 2021
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Consistent representation learning for continual relation extraction
Kang Zhao, Hua Xu, Jiangong Yang, and Kai Gao. 2022 · 2022
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