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Subsumption Matching Results for SNOMED-FMA (Body)
⇕System	⇕Use Training Maps	⇕MRR	⇕Hits@1	⇕Hits@5	⇕Hits@10
BERTSubs (IC)^‡	✔	0.596	0.466	0.768	0.908
BERTSubs (IC)^‡	✘	0.479	0.305	0.692	0.878
OWL2Vec* + RF^‡	✘	0.465	0.293	0.684	0.818
SORBETMtch^∗	✔	0.516	0.311	0.821	0.941
Word2Vec + RF^‡	✘	0.356	0.210	0.509	0.694
Word2Vec + RF (del)^‡	✘	0.305	0.164	0.443	0.639

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.