Comparing a knowledge-driven approach to a supervised machine learning approach in large-scale extraction of drug-side effect relationships from free-text biomedical literature.
Rong XuQuanQiu WangPublished in: BMC Bioinform. (2015)
Keyphrases
- free text
- knowledge driven
- supervised machine learning
- biomedical literature
- information extraction
- text mining
- automatic extraction
- manually annotated
- relation extraction
- semantic relationships
- natural language processing
- structured data
- semi structured
- medical records
- text documents
- named entity recognition
- named entities
- supervised learning
- protein protein interactions
- microarray
- document clustering
- medical literature
- active learning
- information retrieval
- machine learning
- real world
- wordnet
- natural language
- controlled vocabulary
- semantic information
- co occurrence