A token centric part-of-speech tagger for biomedical text

Artificial Intelligence in Medicine

Volumn 61, Issue 1, 2014, Pages 11-20

  Barrett, Neil ^a   Weber Jahnke, Jens ^a  

^a UNIVERSITY OF VICTORIA   (Canada)

Author keywords

Biomedical tagging evaluation; Cross domain biomedical tagging; Part of speech tagging; Token centric tagging

Indexed keywords

ARTIFICIAL INTELLIGENCE; MEDICINE;

BIOMEDICAL TAGGING EVALUATION; CROSS-DOMAIN; METHODS AND MATERIALS; NAIVE BAYES CLASSIFIERS; PART OF SPEECH TAGGING; PART-OF-SPEECH TAGGER; TOKEN-CENTRIC TAGGING; TRAINING DATA SETS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

ALGORITHM; ARTICLE; BAYES THEOREM; BAYESIAN LEARNING; BIOMEDICAL TEXT; CONTROLLED STUDY; HIDDEN MARKOV MODEL; HUMAN; INFORMATION PROCESSING; MEDICAL INFORMATION; PART OF SPEECH TAGGING; PRIORITY JOURNAL; TOKEN CENTRIC TAGGING; LINGUISTICS; NATURAL LANGUAGE PROCESSING; NOMENCLATURE; PROBABILITY; STATISTICAL MODEL;

LIKELIHOOD FUNCTIONS; LINGUISTICS; MARKOV CHAINS; NATURAL LANGUAGE PROCESSING; TERMINOLOGY AS TOPIC;

EID: 84900555829     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2014.03.005     Document Type: Article

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