一、面向文本的知识抽取
二、开放域关系抽取
三、知识挖掘
1. 实体链接
实体链接是指给定一篇文本中的实体指称(mention),确定这些指称在给定知识库中的目标实体 (entity)
四、知识规则挖掘
五、知识图谱表示学习
参考文献:
[1] Fuzheng Zhang , Nicholas Jing Yuan, Defu Lian, Xing Xie, Wei-Ying Ma, Collaborative Knowledge Base Embedding for Recommender Systems, in Proc. of KDD, 2016.
[2] Bordes, Antoine, , Usunier N, Garcia-Duran A, et al. Translating embeddings for modeling multi-relational data. Advances in neural information processing systems, 2013.
[3] Wang, Z., Zhang, J., Feng, J., & Chen, Z. Knowledge Graph Embedding by Translating on Hyperplanes. in Proc. Of AAAI, 2014.
[4] Lin, Y., Liu, Z., Sun, M., Liu, Y., & Zhu, X. (2015, January). Learning Entity and RelationEmbeddings for Knowledge Graph Completion. in Proc. Of AAAI, 2015.
[5] Lin Y, Liu Z, Sun M. Knowledge representation learning with entities, attributes and relations. Graph Completion. in Proc. Of IJCAI, 2016.
[6] Gardner, M., Talukdar, P. P., Kisiel, B., & Mitchell, T. Improving Learning and Inference in a Large Knowledge-base using Latent Syntactic Cues. in Proc. Of EMNLP, 2013.
[7] Guo S, Wang Q, Wang L, et al. Jointly Embedding Knowledge Graphs and Logical Rules. in Proc. Of EMNLP, 2016.
[8] Xu, J., Chen, K., Qiu, X., & Huang, X. Knowledge Graph Representation with Jointly Structural and Textual Encoding. in Proc. Of IJCAI, 2016.
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