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We introduce a new method DOLORES for learning knowledge graph embeddings that effectively captures contextual cues and dependencies among entities and relations.
Foundations of statistical natural language processing
Christopher D Manning and Hinrich Schütze. 1999 · 1999
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Speech & language processing
Dan Jurafsky. 2000 · 2000
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Random walk inference and learning in a large scale knowledge base
Ni Lao, Tom Mitchell, and William W Cohen. 2011 · 2011
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A three-way model for collective learning on multi-relational data
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Ni Lao, Amarnag Subramanya, Fernando Pereira, and William W Cohen. 2012 · 2012
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Knowledge vault: A web-scale approach to probabilistic knowledge fusion
Xin Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, and Wei Zhang. 2014 · 2014
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Knowledge graph embedding by translating on hyperplanes
Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen. 2014 · 2014
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Learning entity and relation embeddings for knowledge graph completion
Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, and Xuan Zhu. 2015 · 2015
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Compositional vector space models for knowledge base completion
Arvind Neelakantan, Benjamin Roth, and Andrew McCallum. 2015 · 2015
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Embedding entities and relations for learning and inference in knowledge bases
Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2015 · 2015
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Aditya Grover and Jure Leskovec. 2016 · 2016
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Complex embeddings for simple link prediction
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard. 2016 · 2016
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Learning multi-faceted knowledge graph embeddings for natural language processing
Proje: Embedding projection for knowledge graph completion
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Knowledge graph embedding: A survey of approaches and applications
Quan Wang, Zhendong Mao, Bin Wang, and Li Guo. 2017 · 2017
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Ssp: Semantic space projection for knowledge graph embedding with text descriptions
Han Xiao, Minlie Huang, Lian Meng, and Xiaoyan Zhu. 2017 · 2017
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Kbgan: Adversarial learning for knowledge graph embeddings
Liwei Cai and William Yang Wang. 2018 · 2018
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Go for a walk and arrive at the answer: Reasoning over paths in knowledge bases using reinforcement learning
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Transt: Type-based multiple embedding representations for knowledge graph completion
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Regularizing knowledge graph embeddings via equivalence and inversion axioms
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