Biological relation extraction and query answering from MEDLINE abstracts using ontology-based text mining.
Muhammad AbulaishLipika DeyPublished in: Data Knowl. Eng. (2007)
Keyphrases
- query answering
- relation extraction
- text mining
- manually annotated
- information extraction
- named entities
- annotated corpus
- domain specific
- data exchange
- biomedical literature
- information extraction systems
- named entity recognition
- automatic extraction
- natural language processing
- data integration
- natural language text
- text documents
- biological data
- semantic relations
- semi structured
- question answering
- information retrieval
- text classification
- document clustering
- biological knowledge
- semantic features
- knowledge discovery
- data mining
- machine learning
- data analysis
- free text
- data management
- structured data
- ground truth
- computational methods
- conditional random fields
- general purpose
- data sources
- natural language
- knowledge base