Automating the generation of lexical patterns for processing free text in clinical documents | Zendy

Frank Meng | Zendy; Craig A. Morioka | Zendy

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Automating the generation of lexical patterns for processing free text in clinical documents

Author(s) -

Frank Meng,

Craig A. Morioka

Publication year - 2015

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocv012

Subject(s) - computer science , natural language processing , parsing , recall , artificial intelligence , baseline (sea) , context (archaeology) , matching (statistics) , word (group theory) , f1 score , negation , precision and recall , identification (biology) , psychology , linguistics , cognitive psychology , statistics , philosophy , mathematics , botany , biology , programming language , geology , paleontology , oceanography

Many tasks in natural language processing utilize lexical pattern-matching techniques, including information extraction (IE), negation identification, and syntactic parsing. However, it is generally difficult to derive patterns that achieve acceptable levels of recall while also remaining highly precise.

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