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Subsumption Matching Results for SNOMED-NCIT (Neoplas)
⇕System	⇕Use Training Maps	⇕MRR	⇕Hits@1	⇕Hits@5	⇕Hits@10
BERTSubs (IC)^‡	✔	0.661	0.483	0.893	0.980
BERTSubs (IC)^‡	✘	0.559	0.356	0.832	0.940
OWL2Vec* + RF^‡	✘	0.673	0.503	0.933	0.980
SORBETMtch^∗	✔	0.685	0.557	0.859	0.899
Word2Vec + RF^‡	✘	0.597	0.409	0.866	0.966
Word2Vec + RF (del)	✘	0.532	0.369	0.745	0.805

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.