NCBI disease corpus: A resource for disease name recognition and concept normalization

Journal of Biomedical Informatics

Volumn 47, Issue , 2014, Pages 1-10

  Doǧan, Rezarta Islamaj ^a   Leaman, Robert ^a,b   Lu, Zhiyong ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b Arizona State University   (United States)

Author keywords

Corpus annotation; Disease name corpus; Disease name normalization; Disease name recognition; Named entity recognition

Indexed keywords

BENCHMARKING; DATA MINING; KNOWLEDGE BASED SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; RESEARCH; TEXT PROCESSING; TOOLS;

BIOMEDICAL LITERATURE; CORPUS ANNOTATIONS; IDENTIFICATION METHOD; MEDICAL SUBJECT HEADINGS; NAME RECOGNITION; NAMED ENTITY RECOGNITION; NATURAL LANGUAGE PROCESSING; NORMALIZATION METHODS;

LINGUISTICS;

ANALYTICAL ERROR; ARTICLE; CITATION ANALYSIS; CONSENSUS; HUMAN; KNOWLEDGE; MEDICAL RESEARCH; MEDICAL SUBJECT HEADINGS; MEDICAL TERMINOLOGY; NATURAL LANGUAGE PROCESSING; NCBI DISEASE CORPUS; ONLINE SYSTEM; PRACTICE GUIDELINE; PRIORITY JOURNAL; QUALITY CONTROL; RECOGNITION; SCIENTIST; TRAINING;

CORPUS ANNOTATION; DISEASE NAME CORPUS; DISEASE NAME NORMALIZATION; DISEASE NAME RECOGNITION; NAMED ENTITY RECOGNITION;

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DATA MINING; GENETIC DISEASES, INBORN; HUMANS; INFORMATION STORAGE AND RETRIEVAL; KNOWLEDGE BASES; MEDICAL SUBJECT HEADINGS; NATIONAL INSTITUTES OF HEALTH (U.S.); NATURAL LANGUAGE PROCESSING; PUBMED; SEMANTICS; TERMINOLOGY AS TOPIC; UNITED STATES; VOCABULARY, CONTROLLED;

EID: 84895437465     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2013.12.006     Document Type: Article

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