A hybrid model for named entity recognition using unstructured medical text

Proceedings of the 9th International Conference on System of Systems Engineering: The Socio-Technical Perspective, SoSE 2014

Volumn , Issue , 2014, Pages 85-90

  Keretna, Sara ^a   Lim, Chee Peng ^a   Creighton, Doug ^a  

^a DEAKIN UNIVERSITY   (Australia)

Author keywords

Association rules; biomedical named entity recognition; information extraction; medical text mining

Indexed keywords

ASSOCIATION RULES; CHARACTER RECOGNITION; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS; SYSTEMS ENGINEERING; TEXT PROCESSING;

BIOMEDICAL NAMED ENTITY RECOGNITION; INFERENCE RULES; MORPHOLOGICAL FEATURES; NAMED ENTITIES; NAMED ENTITY RECOGNITION; PART-OF-SPEECH TAGS; RULE-BASED TECHNIQUES; TEXT MINING;

DATA MINING;

EID: 84908626042     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SYSOSE.2014.6892468     Document Type: Conference Paper

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