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Equivalence Matching Results for SNOMED-NCIT (Neoplas)
	Unsupervised (No Train Maps)					Semi-supervised (Optional 30% Train Maps)
⇕System	⇕Precision	⇕Recall	⇕F-score	⇕MRR	⇕Hits@1	⇕Use Train Maps	⇕Precision	⇕Recall	⇕F-score	⇕MRR	⇕Hits@1
AMD^∗	0.836	0.481	0.610			✔	0.792	0.528	0.633
BERTMap^‡	0.557	0.762	0.643	0.954	0.928	✔	0.562	0.771	0.650	0.962	0.938
BERTMapLt^‡	0.831	0.687	0.752	0.891	0.859	✘	0.775	0.688	0.729	0.891	0.859
LogMap^†	0.870	0.586	0.701			✘	0.823	0.583	0.683
LogMapBio^†	0.748	0.795	0.771			✘	0.675	0.793	0.729
LogMapLt^†	0.951	0.517	0.670			✘	0.931	0.514	0.662
Matcha^†	0.838	0.551	0.665			✘	0.782	0.545	0.642
Matcha-DL^∗	0.811	0.514	0.629	0.829	0.806	✔	0.806	0.714	0.757	0.829	0.806
OLaLa^∗	0.540	0.546	0.543			✘	0.451	0.545	0.493
SORBETMtch^†∗	0.626	0.642	0.634			✔	0.731	0.605	0.662

Note: Mixed results for SORBETMtch, where unsupervised results come from MELT and semi-supervised results come from direct result submission.