Exploiting distributional semantics to benefit machine learning in automated classification of Chinese clinical text.
Wenxin NingMing YuPublished in: BIBM (2016)
Keyphrases
- automated classification
- machine learning
- chinese text
- text mining
- text summarization
- supervised machine learning
- semantic information
- natural language processing
- traditional chinese medicine
- chinese texts
- information extraction
- free text
- english text
- text processing
- pattern recognition
- text documents
- formal semantics
- text retrieval
- semantic representation
- machine learning algorithms
- decision trees
- text classification
- information retrieval
- learning algorithm
- active learning
- computer vision
- database
- co occurrence
- machine learning methods
- knowledge discovery
- textual entailment
- clinical practice
- keyword extraction
- patient records
- semantic structure
- medical domain
- logic programming
- knowledge acquisition
- feature selection
- data mining
- keywords
- clinical trials
- computer science
- knowledge representation
- named entity recognition
- support vector machine
- medical images