Papers with Knowledge graph integration

1 papers
An Accurate Unsupervised Method for Joint Entity Alignment and Dangling Entity Detection (2022.findings-acl)

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Challenge: Existing methods for knowledge graph integration lack dangling entities that can be manually extracted.
Approach: They propose a Unsupervised method for joint Entity alignment and Dangling entity detection that uses literal semantic information to generate pseudo entity pairs and globally guided alignment information for EA.
Outcome: The proposed method outperforms state-of-the-art methods in the EA and DED tasks and achieves comparable results without supervision.

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