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    Chapter and Conference Paper

    Measuring Semantic Relatedness with Knowledge Association Network

    Measuring semantic relatedness between two words is a fundamental task for many applications in both databases and natural language processing domains. Conventional methods mainly utilize the latent semantic info...

    Jiapeng Li, Wei Chen, Binbin Gu, Junhua Fang in Database Systems for Advanced Applications (2019)

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    Chapter and Conference Paper

    SAEA: Self-Attentive Heterogeneous Sequence Learning Model for Entity Alignment

    We consider the problem of entity alignment in knowledge graphs. Previous works mainly focus on two aspects: One is to improve the TransE-based models which mostly only consider triple-level structural informa...

    Jia Chen, Binbin Gu, Zhixu Li, Pengpeng Zhao in Database Systems for Advanced Applications (2020)