知识表示学习必读论文

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知识表示学习(KRL: knowledge representation learning或者KE: knowledge embedding)是NLP领域近年的研究热点,来自清华大学的 Shulin Cao 和 Xu Han 同学整理了该方向有价值的参考文献,是入门学习的好东西。

Survey文章:

  1. Representation Learning: A Review and New Perspectives. Yoshua Bengio, Aaron Courville, and Pascal Vincent. TPAMI 2013. paper
  2. Knowledge Representation Learning: A Review. (In Chinese) Zhiyuan Liu, Maosong Sun, Yankai Lin, Ruobing Xie. 计算机研究与发展 2016. paper
  3. A Review of Relational Machine Learning for Knowledge Graphs. Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich. Proceedings of the IEEE 2016. paper
  4. Knowledge Graph Embedding: A Survey of Approaches and Applications. Quan Wang, Zhendong Mao, Bin Wang, Li Guo.TKDE 2017. paper

更多会议和期刊论文请点击阅读。

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