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Relation extraction aims to classify the relationships between two entities into pre-defined categories.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
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Attention guided graph convolutional networks for relation extraction
Zhijiang Guo, Yan Zhang, and Wei Lu. 2019 · 1906
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Inter-sentence relation extraction with document-level graph convolutional neural network
Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, and Sophia Ananiadou. 2019 · 1906
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Docred: A large-scale document-level relation extraction dataset
Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, and Maosong Sun. 2019 · 1906
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Connecting the dots: Document-level neural relation extraction with edge-oriented graphs
Fenia Christopoulou, Makoto Miwa, and Sophia Ananiadou. 2019 · 1909
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Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al. 2019 · 1910
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Coreferential reasoning learning for language representation
Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Peng Li, Maosong Sun, and Zhiyuan Liu. 2020 · 2004
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Reasoning with latent structure refinement for document-level relation extraction
Guoshun Nan, Zhijiang Guo, Ivan Sekulić, and Wei Lu. 2020 · 2005
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Multi-task transfer learning for weakly-supervised relation extraction
Jing Jiang. 2009 · 2009
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Double graph based reasoning for document-level relation extraction
Shuang Zeng, Runxin Xu, Baobao Chang, and Lei Li. 2020 · 2009
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Data programming: Creating large training sets, quickly
Alexander J Ratner, Christopher M De Sa, Sen Wu, Daniel Selsam, and Christopher Ré. 2016 · 2016
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Deep residual learning for weakly-supervised relation extraction
Yi Yao Huang and William Yang Wang. 2017 · 2017
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A graph-based relation extraction method for question answering system
G Veena, S Athulya, Salma Shaji, and Deepa Gupta. 2017 · 2017
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Pattern discovery for wide-window open information extraction in biomedical literature
Qi Li, Xuan Wang, Yu Zhang, Fei Ling, Cathy H Wu, and Jiawei Han. 2018 · 2018
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Ranking-based automatic seed selection and noise reduction for weakly supervised relation extraction
Van-Thuy Phi, Joan Santoso, Masashi Shimbo, and Yuji Matsumoto. 2018 · 2018
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Weakly-supervised relation extraction by pattern-enhanced embedding learning
Meng Qu, Xiang Ren, Yu Zhang, and Jiawei Han. 2018 · 2018
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Open information extraction with meta-pattern discovery in biomedical literature
Xuan Wang, Yu Zhang, Qi Li, Yinyin Chen, and Jiawei Han. 2018 · 2018
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Label verbalization and entailment for effective zero-and few-shot relation extraction
Oscar Sainz, Oier Lopez de Lacalle, Gorka Labaka, Ander Barrena, and Eneko Agirre. 2021 · 2021
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Entity structure within and throughout: Modeling mention dependencies for document-level relation extraction
Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, and Zhendong Mao. 2021 · 2021
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Document-level relation extraction with adaptive thresholding and localized context pooling
Wenxuan Zhou, Kevin Huang, Tengyu Ma, and Jing Huang. 2021 · 2021
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Unifiedqa-v2: Stronger generalization via broader cross-format training
Daniel Khashabi, Yeganeh Kordi, and Hannaneh Hajishirzi. 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
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Training complex models with multi-task weak supervision
Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, and Christopher Ré. 2019 · 2019
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Unifiedqa: Crossing format boundaries with a single qa system
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Hin: Hierarchical inference network for document-level relation extraction
Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, and Pengfei Yin. 2020 · 2020
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
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Document-level relation extraction with adaptive focal loss and knowledge distillation
Qingyu Tan, Ruidan He, Lidong Bing, and Hwee Tou Ng. 2022a
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Revisiting docred-addressing the false negative problem in relation extraction
Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng, and Sharifah Mahani Aljunied. 2022b · 2022
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Generate rather than retrieve: Large language models are strong context generators
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, and Meng Jiang. 2022 · 2022
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Dreeam: Guiding attention with evidence for improving document-level relation extraction
Youmi Ma, An Wang, and Naoaki Okazaki. 2023 · 2023
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