SemRep
SemRep is a natural language processing program developed at the U.S. National Library of Medicine that extracts semantic predications (subject-relation-object triples) from biomedical text. It uses MetaMap to map free text onto Unified Medical Language System (UMLS) Metathesaurus concepts and the UMLS Semantic Network to assign relations, producing normalized assertions such as "Drug TREATS Disease". The semantic predications generated by SemRep over the PubMed corpus form the basis of SemMedDB, a PubMed-scale repository of biomedical predications widely reused for literature-based discovery and knowledge graph construction.
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