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The relation classification is to identify semantic relations between two entities in a given text.
Model-agnostic meta-learning for fast adaptation of deep networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine · 2017
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Prototypical networks for few-shot learning
Jake Snell, Kevin Swersky, and Richard S. Zemel · 2017
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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 · 2018
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Few-shot learning with graph neural networks
Victor Garcia Satorras and Joan Bruna Estrach · 2018
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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Hybrid attention-based prototypical networks for noisy few-shot relation classification
Tianyu Gao, Xu Han, Zhiyuan Liu, and Maosong Sun · 2019
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Fewrel 2.0: Towards more challenging few-shot relation classification
Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, and Jie Zhou · 2019
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Matching the blanks: Distributional similarity for relation learning
Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, and Tom Kwiatkowski · 2019
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Hierarchical attention prototypical networks for few-shot text classification
Shengli Sun, Qingfeng Sun, Kevin Zhou, and Tengchao Lv · 2019
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Multi-level matching and aggregation network for few-shot relation classification
Zhixiu Ye and Zhenhua Ling · 2019
Cited alongside, same era.
Few-shot text classification with distributional signatures
Yujia Bao, Menghua Wu, Shiyu Chang, and Regina Barzilay · 2020
Cited alongside, same era.
Learning from context or names? an empirical study on neural relation extraction
Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, and Jie Zhou · 2020
Cited alongside, same era.
Few-shot relation extraction via bayesian meta-learning on relation graphs
Target-guided structured attention network for target-dependent sentiment analysis
Ji Zhang, Chengyao Chen, Pengfei Liu, Chao He, and Cane Wing-Ki Leung · 2020
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Knowledge-driven data construction for zero-shot evaluation in commonsense question answering
Kaixin Ma, Filip Ilievski, Jonathan Francis, Yonatan Bisk, Eric Nyberg, and Alessandro Oltramari · 2021
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Enhanced prototypical network for few-shot relation extraction
Wen Wen, Yongbin Liu, Chunping Ouyang, Qiang Lin, and Tong Lee Chung · 2021
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Universal-prototype enhancing for few-shot object detection
Aming Wu, Yahong Han, Linchao Zhu, and Yi Yang · 2021
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SEGA: semantic guided attention on visual prototype for few-shot learning
Fengyuan Yang, Ruiping Wang, and Xilin Chen · 2021
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Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, and Jian Tang · 2020
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Learning from unlabelled data for clinical semantic textual similarity
Yuxia Wang, Karin Verspoor, and Timothy Baldwin · 2020
Cited alongside, same era.
Entity concept-enhanced few-shot relation extraction
Shan Yang, Yongfei Zhang, Guanglin Niu, Qinghua Zhao, and Shiliang Pu · 2021
Later among the works it cites.