Papers with entity-relation-entity embedding approach

1 papers
RelDiff: Enriching Knowledge Graph Relation Representations for Sensitivity Classification (2021.findings-emnlp)

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Challenge: Existing relationships between entities can be reliable indicators for classifying sensitive information, such as commercially sensitive information.
Approach: They propose to represent entities and relations within a single embedding to better capture the relationship between the entities.
Outcome: The proposed method significantly improves the effectiveness of sensitivity classification compared to existing methods.

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