ZeroER fits a regularized Gaussian mixture model with transitivity constraints to match records with zero labeled examples, achieving average F-scores near supervised baselines (0.76 vs 0.77 for random forest).
https://dbs.uni- leipzig.de/en/research/projects/object_matching/fever/benchmark_ datasets_for_entity_resolution
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ZeroER: Entity Resolution using Zero Labeled Examples
ZeroER fits a regularized Gaussian mixture model with transitivity constraints to match records with zero labeled examples, achieving average F-scores near supervised baselines (0.76 vs 0.77 for random forest).