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Relational triple extraction is challenging for its difficulty in capturing rich correlations between entities and relations.
Kernel methods for relation extraction
Dmitry Zelenko, Chinatsu Aone, and Anthony Richardella. 2003 · 2003
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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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Jointly identifying entities and extracting relations in encyclopedia text via A graphical model approach
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Exploiting syntactico-semantic structures for relation extraction
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Attention is all you need
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Suncong Zheng, Feng Wang, Hongyun Bao, Yuexing Hao, Peng Zhou, and Bo Xu. 2017 · 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 · 2018
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Xiangrong Zeng, Daojian Zeng, Shizhu He, Kang Liu, and Jun Zhao. 2018 · 2018
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, and Jie Zhou. 2019 · 2019
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
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Learning the extraction order of multiple relational facts in a sentence with reinforcement learning
Ptr: Prompt tuning with rules for text classification
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TDEER: An efficient translating decoding schema for joint extraction of entities and relations
Xianming Li, Xiaotian Luo, Chenghao Dong, Daichuan Yang, Beidi Luan, and Zhen He. 2021 · 2021
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Deep neural approaches to relation triplets extraction: A comprehensive survey
Tapas Nayak, Navonil Majumder, Pawan Goyal, and Soujanya Poria. 2021 · 2021
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A novel global feature-oriented relational triple extraction model based on table filling
Feiliang Ren, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Shilei Liu, Bochao Li, and Yaduo Liu. 2021 · 2021
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Synchronous dual network with cross-type attention for joint entity and relation extraction
Hui Wu and Xiaodong Shi. 2021 · 2021
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Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, and Jun Zhao. 2019 · 2019
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Effective modeling of encoder-decoder architecture for joint entity and relation extraction
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A novel cascade binary tagging framework for relational triple extraction
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A Relation-Specific Attention Network for Joint Entity and Relation Extraction
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Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network
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Entity structure within and throughout: Modeling mention dependencies for document-level relation extraction
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A partition filter network for joint entity and relation extraction
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Contrastive triple extraction with generative transformer
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PRGC: potential relation and global correspondence based joint relational triple extraction
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Knowprompt: Knowledge-aware prompt-tuning with synergistic optimization for relation extraction
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Onerel: Joint entity and relation extraction with one module in one step
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EmRel: Joint representation of entities and embedded relations for multi-triple extraction
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