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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...
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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...