UTA DLNLP at SemEval-2016 task 12: Deep learning based natural language processing system for clinical information identification from clinical notes and pathology reports

SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings

Volumn , Issue , 2016, Pages 1268-1273

  Li, Peng ^a   Huang, Heng ^a  

^a The University of Texas at Arlington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEEP LEARNING; DEEP NEURAL NETWORKS; MULTILAYER NEURAL NETWORKS; PATHOLOGY; SEMANTICS;

CLINICAL INFORMATION; CONVOLUTION NEURAL NETWORK; EMPIRICAL EVALUATIONS; FEATURE REPRESENTATION; MULTI LAYER PERCEPTRON; PART-OF-SPEECH TAGS; SHAPE INFORMATION; TIME INFORMATION;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 85019682511     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/s16-1197     Document Type: Conference Paper

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