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Graph-to-text (G2T) generation and text-to-graph (T2G) triple extraction are two essential tasks for constructing and applying knowledge graphs.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2019 · 1910
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
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Scheduled sampling for sequence prediction with recurrent neural networks
Samy Bengio, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer. 2015 · 2015
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Cider: Consensus-based image description evaluation
Ramakrishna Vedantam, C Lawrence Zitnick, and Devi Parikh. 2015 · 2015
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Reward augmented maximum likelihood for neural structured prediction
Mohammad Norouzi, Samy Bengio, Navdeep Jaitly, Mike Schuster, Yonghui Wu, Dale Schuurmans, et al. 2016 · 2016
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The webnlg challenge: Generating text from rdf data
Claire Gardent, Anastasia Shimorina, Shashi Narayan, and Laura Perez-Beltrachini. 2017 · 2017
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Phrase-based & neural unsupervised machine translation
Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2018 · 2018
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Deep graph convolutional encoders for structured data to text generation
Diego Marcheggiani and Laura Perez-Beltrachini. 2018 · 2018
Cited alongside, same era.
Extracting relational facts by an end-to-end neural model with copy mechanism
Xiangrong Zeng, Daojian Zeng, Shizhu He, Kang Liu, and Jun Zhao. 2018 · 2018
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Text generation from knowledge graphs with graph transformers
Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata, and Hannaneh Hajishirzi. 2019 · 2019
Cited alongside, same era.
Step-by-step: Separating planning from realization in neural data-to-text generation
Amit Moryossef, Yoav Goldberg, and Ido Dagan. 2019 · 2019
Cited alongside, same era.
Extracting multiple-relations in one-pass with pre-trained transformers
Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, and Saloni Potdar. 2019 · 2019
Cited alongside, same era.
A novel cascade binary tagging framework for relational triple extraction
Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, and Yi Chang. 2020 · 2020
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Bridging the structural gap between encoding and decoding for data-to-text generation
Chao Zhao, Marilyn Walker, and Snigdha Chaturvedi. 2020 · 2020
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Control prefixes for text generation
Jordan Clive, Kris Cao, and Marek Rei. 2021 · 2021
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A survey on knowledge graphs: Representation, acquisition, and applications
Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, and S Yu Philip. 2021 · 2021
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Jointgt: Graph-text joint representation learning for text generation from knowledge graphs
Pei Ke, Haozhe Ji, Yu Ran, Xin Cui, Liwei Wang, Linfeng Song, Xiaoyan Zhu, and Minlie Huang. 2021 · 2021
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Zhijing Jin, Qipeng Guo, Xipeng Qiu, and Zheng Zhang. 2020 · 2020
Cited alongside, same era.
Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2020 · 2020
Cited alongside, same era.
An unsupervised joint system for text generation from knowledge graphs and semantic parsing
Martin Schmitt, Sahand Sharifzadeh, Volker Tresp, and Hinrich Schütze. 2020 · 2020
Cited alongside, same era.
\ \backslash cal p2: A plan-and-pretrain approach for knowledge graph-to-text generation: A plan-and-pretrain approach for knowledge graph-to-text generation
Qipeng Guo, Zhijing Jin, Ning Dai, Xipeng Qiu, Xiangyang Xue, David Wipf, and Zheng Zhang. 2020a
Cited in the paper.
Cyclegt: Unsupervised graph-to-text and text-to-graph generation via cycle training
Qipeng Guo, Zhijing Jin, Xipeng Qiu, Weinan Zhang, David Wipf, and Zheng Zhang. 2020b
Cited in the paper.
Investigating pretrained language models for graph-to-text generation
Leonardo FR Ribeiro, Martin Schmitt, Hinrich Schütze, and Iryna Gurevych. 2021 · 2021
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A partition filter network for joint entity and relation extraction
Zhiheng Yan, Chong Zhang, Jinlan Fu, Qi Zhang, and Zhongyu Wei. 2021 · 2021
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Contrastive triple extraction with generative transformer
Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, and Huajun Chen. 2021 · 2021
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