Word Sense Disambiguation
NLP (Natural Language Process) applications use MetaMap (or MMTX) to map arbitrary text to concepts in the UMLS Metathesaurus. MetaMap (MMTX) tokenizes the input free text into word or term (phrase). Each word/term is then mapped into UMLS concept along with confidence scores. If the text maps to more than one Metathesaurus concept with same high confidence scores, MetaMap does not know which concept is the correct mapping and cause ambiguity problem. STI can be used to select the best meaning assigned to ambiguous concepts in the Metathesaurus for word sense disambiguation.
Race, ethnicity, culture, and disparities in health care
UMLS Concepts | Semantic Types |
---|---|
Anthropological culture | Idea or concept |
Laboratory culture | Laboratory procedure |
--- ST scores and rank based on word frequency --- 6|0.7184|idcn|Idea or Concept 47|0.3718|lbpr|Laboratory Procedure --- ST scores and rank based on document count for word --- 4|0.7385|idcn|Idea or Concept 50|0.3749|lbpr|Laboratory Procedure