UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports.
Peng LiHeng HuangPublished in: SemEval@NAACL-HLT (2016)
Keyphrases
- deep learning
- clinical information
- natural language processing
- machine learning
- word sense disambiguation
- clinical data
- information extraction
- unsupervised learning
- medical information
- mental models
- text mining
- named entity recognition
- medical data
- knowledge representation
- wordnet
- named entities
- semantic relations
- natural language
- medical records
- data mining
- weakly supervised
- free text
- question answering
- domain knowledge