Papers by Zongwei Liang

1 papers
A Semantic Filter Based on Relations for Knowledge Graph Completion (2021.emnlp-main)

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Challenge: Knowledge graph embedding is a new form of knowledge graphing that allows for better link prediction.
Approach: They propose to use relational embedding to fit symmetry/antisymmetry and combination relationships.
Outcome: The proposed model can fit symmetry/antisymmetry and combination relationships.

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