Annotation of phenotypes using ontologies: a gold standard for the training and evaluation of natural language processing systems.

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Title: Annotation of phenotypes using ontologies: a gold standard for the training and evaluation of natural language processing systems.
Authors: Dahdul W; University of South Dakota, Vermillion, SD, USA., Manda P; University of North Carolina at Greensboro, Greensboro, NC, USA., Cui H; University of Arizona, Tucson, AZ, USA., Balhoff JP; University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Dececchi TA; University of South Dakota, Vermillion, SD, USA.; Current affiliation: University of Pittsburgh at Johnstown, Johnstown, PA, USA., Ibrahim N; University of Chicago, Chicago, IL, USA.; Current affiliation: University of Detroit Mercy, Detroit, MI, USA & University of Portsmouth, Portsmouth, UK., Lapp H; Duke University, Durham, NC, USA., Vision T; University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Mabee PM; University of South Dakota, Vermillion, SD, USA.
Source: Database : the journal of biological databases and curation [Database (Oxford)] 2018 Jan 01; Vol. 2018. Date of Electronic Publication: 2018 Jan 01.
Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Oxford Journals Country of Publication: England NLM ID: 101517697 Publication Model: Electronic Cited Medium: Internet ISSN: 1758-0463 (Electronic) Linking ISSN: 17580463 NLM ISO Abbreviation: Database (Oxford) Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1758-0463
DOI:10.1093/database/bay110