Papers with knowledge graph representation

1 papers
Accurate Text-Enhanced Knowledge Graph Representation Learning (N18-1)

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Challenge: Existing representation learning methods for knowledge graph representation do not consider the ambiguity of relations and entities.
Approach: They propose a text-enhanced knowledge graph representation learning method which exploits the entity descriptions and triple-specific relation mention to enhance representations.
Outcome: The proposed method outperforms existing representation learning models on link prediction and triple classification tasks and significantly outperformed existing models.

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