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第四讲 知识抽取与挖掘II

第四讲 知识抽取与挖掘II

作者: DataArk | 来源:发表于2018-08-23 20:25 被阅读97次

    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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