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Knowledge Graphs Data Quality at Scale: Challenges, Solutions, and Applications
Stefano Marchesin, Omar Alonso
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This work introduces an ontology-driven framework to quantify and enforce structural consistency in DocRE datasets and reveals substantial structural noise in DocRED distant and demonstrates that such inconsistencies propagate to model predictions.