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Science / Semantics / Lexical semantics / Corpus linguistics / Unified Medical Language System / Collocation / Word-sense disambiguation / Semantic network / Ambiguity / Linguistics / Computational linguistics / Natural language processing


Collocation Analysis for UMLS Knowledge-based Word Sense Disambiguation
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Document Date: 2014-08-22 13:45:04

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City

Rosario / /

Company

CHEM / ANAT / MEDLINE / DISO / /

Country

United States / /

/

Facility

National Library of Medicine / University of Minnesota Twin Cities / Rockville Pike / /

IndustryTerm

semantic network / statistical learning algorithm / semantic / free online repository allowing access / disambiguation algorithms / health care systems / natural language processing / supervised learning algorithms / learning algorithm / automatic text annotation tool / /

Organization

Department of Pharmacology / University of Minnesota Twin Cities / Minneapolis / /

Person

Alan R. Aronson / Antonio Jimeno-Yepes / Abstract Background / Bridget T. McInnes / /

Position

author / Porter / /

ProvinceOrState

Minnesota / Maryland / /

Technology

learning algorithm / statistical learning algorithm / natural language processing / supervised learning algorithms / disambiguation algorithms / /

SocialTag