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Since conventional knowledge embedding models cannot take full advantage of the abundant textual information, there have been extensive research efforts in enhancing knowledge embedding using texts.
Ernie: Enhanced language representation with informative entities
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, and Qun Liu. 2019 · 1905
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Knowledge enhanced contextual word representations
Matthew E Peters, Mark Neumann, Robert L Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, and Noah A Smith. 2019 · 1909
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Kg-bert: Bert for knowledge graph completion
Liang Yao, Chengsheng Mao, and Yuan Luo. 2019 · 1909
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Temporal knowledge graph embedding model based on additive time series decomposition
Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, and Jens Lehmann. 2019 · 1911
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Integrating graph contextualized knowledge into pre-trained language models
Bin He, Di Zhou, Jinghui Xiao, Qun Liu, Nicholas Jing Yuan, Tong Xu, et al. 2019 · 1912
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Tensor decompositions for temporal knowledge base completion
Timothée Lacroix, Guillaume Obozinski, and Nicolas Usunier. 2020 · 2004
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Distant supervision for relation extraction without labeled data
Mike Mintz, Steven Bills, Rion Snow, and Dan Jurafsky. 2009 · 2009
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Colake: Contextualized language and knowledge embedding
Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, and Zheng Zhang. 2020 · 2010
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Hyte: Hyperplane-based temporally aware knowledge graph embedding
Shib Sankar Dasgupta, Swayambhu Nath Ray, and Partha Talukdar. 2018 · 2011
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Dyernie: Dynamic evolution of riemannian manifold embeddings for temporal knowledge graph completion
Zhen Han, Yunpu Ma, Peng Chen, and Volker Tresp. 2020 · 2011
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Gdelt: Global data on events, location, and tone, 1979–2012
Kalev Leetaru and Philip A Schrodt. 2013 · 2012
Cited alongside, same era.
Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Embedding entities and relations for learning and inference in knowledge bases
Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2014 · 2014
Cited alongside, same era.
Representing text for joint embedding of text and knowledge bases
Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury, and Michael Gamon. 2015 · 2015
Cited alongside, same era.
Deriving validity time in knowledge graph
Julien Leblay and Melisachew Wudage Chekol. 2018 · 2018
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Embedding models for episodic knowledge graphs
Yunpu Ma, Volker Tresp, and Erik A Daxberger. 2019 · 2019
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Diachronic embedding for temporal knowledge graph completion
Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, and Pascal Poupart. 2020 · 2020
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Multi-task learning for knowledge graph completion with pre-trained language models
Bosung Kim, Taesuk Hong, Youngjoong Ko, and Jungyun Seo. 2020 · 2020
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Duee: a large-scale dataset for chinese event extraction in real-world scenarios
Xinyu Li, Fayuan Li, Lu Pan, Yuguang Chen, Weihua Peng, Quan Wang, Yajuan Lyu, and Yong Zhu. 2020 · 2020
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K-bert: Enabling language representation with knowledge graph
Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, and Ping Wang. 2020 · 2020
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Volker Tresp, Cristóbal Esteban, Yinchong Yang, Stephan Baier, and Denis Krompaß. 2015 · 2015
Cited alongside, same era.
Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, et al. 2016 · 2016
Cited alongside, same era.
Convolutional 2d knowledge graph embeddings
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel. 2018 · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Simple embedding for link prediction in knowledge graphs
Seyed Mehran Kazemi and David Poole. 2018 · 2018
Cited alongside, same era.
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TeRo: A time-aware knowledge graph embedding via temporal rotation
Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, and Jens Lehmann. 2020 · 2020
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Time-dependent entity embedding is not all you need: A re-evaluation of temporal knowledge graph completion models under a unified framework
Zhen Han, Gengyuan Zhang, Yunpu Ma, and Volker Tresp. 2021 · 2021
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Question answering over temporal knowledge graphs
Apoorv Saxena, Soumen Chakrabarti, and Partha Talukdar. 2021 · 2021
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Kepler: A unified model for knowledge embedding and pre-trained language representation
Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhengyan Zhang, Zhiyuan Liu, Juanzi Li, and Jian Tang. 2021 · 2021
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