NegAIT: A new parser for medical text simplification using morphological, sentential and double negation

Journal of Biomedical Informatics

Volumn 69, Issue , 2017, Pages 55-62

  Mukherjee, Partha ^a   Leroy, Gondy ^a   Kauchak, David ^b   Rajanarayanan, Srinidhi ^a   Romero Diaz, Damian Y ^a   Yuan, Nicole P ^a   Pritchard, T Gail ^a   Colina, Sonia ^a  

^a UNIVERSITY OF ARIZONA   (United States)

^b POMONA COLLEGE   (United States)

Author keywords

Health literacy; Negation; NLP; Readability; Text simplification

Indexed keywords

BINARY TREES; CLASSIFICATION (OF INFORMATION); DECISION TREES; MEDICAL APPLICATIONS; PREDICTIVE ANALYTICS; SODIUM;

BINARY CLASSIFIERS; COCHRANE REVIEW; HEALTH LITERACY; LOGISTIC REGRESSIONS; NEGATION; READABILITY; TEXT SIMPLIFICATION; WIKIPEDIA ARTICLES;

SYNTACTICS;

ARTICLE; BOOK; CLASSIFIER; DECISION TREE; GOLD STANDARD; HEALTH LITERACY; LANGUAGE PROCESSING; LINEAR REGRESSION ANALYSIS; LOGISTIC REGRESSION ANALYSIS; MORPHOLOGY; NEGATION PARSER; READING; SOFTWARE; STATISTICS; SUPPORT VECTOR MACHINE; WORD PROCESSING; BAYES THEOREM; COMPREHENSION; HUMAN; INFORMATION PROCESSING; LANGUAGE; MEDICAL INFORMATICS; NATURAL LANGUAGE PROCESSING; PROCEDURES;

BAYES THEOREM; COMPREHENSION; DATA CURATION; HUMANS; LANGUAGE; MEDICAL INFORMATICS; NATURAL LANGUAGE PROCESSING; SOFTWARE;

EID: 85016487612     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2017.03.014     Document Type: Article

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