SemRep is a program that extracts semantic predications (subject-predicate-object triples) from biomedical free text. Elements of a semantic predications are drawn from the UMLS knowledge sources; the subject and object pair corresponds to UMLS Metathesaurus concepts and the predicate to a relation type in an extended version of UMLS Semantic Network. SemRep extracts a range of predicates relating to clinical medicine (e.g. TREATS, DIAGNOSES, ADMINISTERED_TO, PROCESS_OF), substance interactions (e.g., INTERACTS_WITH, INHIBITS, STIMULATES), genetic etiology of disease (e.g., ASSOCIATED_WITH, CAUSES, PREDISPOSES), and pharmacogenomics (e.g., AFFECTS, AUGMENTS, DISRUPTS). For example, the program identifies the predications in (2) from the sentence in (1).
We used hemofiltration to treat a patient with digoxin overdose that was complicated by refractory hyperkalemia.
Rindflesch, T.C. and Fiszman, M. (2003). The interaction of domain knowledge and linguistic structure in natural language processing: interpreting hypernymic propositions in biomedical text. Journal of Biomedical Informatics, 36(6):462-477.