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Subsumption Matching Results for NCIT-DOID (Disease)
⇕System	⇕Use Training Maps	⇕MRR	⇕Hits@1	⇕Hits@5	⇕Hits@10
BERTSubs (IC)^‡	✔	0.535	0.342	0.796	0.938
BERTSubs (IC)^‡	✘	0.442	0.240	0.710	0.916
OWL2Vec* + RF^‡	✘	0.617	0.503	0.755	0.858
SORBETMtch^∗	✔	0.802	0.695	0.941	0.977
Word2Vec + RF^‡	✘	0.520	0.378	0.690	0.806
Word2Vec + RF (del)^‡	✘	0.330	0.229	0.419	0.532

Note: (del) is a trial setting that uses the pruned target ontology similar to OAEI 2022.

Note: OWL2Vec* uses structure, literal and mixture documents, without using pre-trained Word2Vec. RF indicates Random Forest Classifier with n_estimators=50.