Using lexical disambiguation and named-entity recognition to improve spelling correction in the electronic patient record.
Patrick RuchRobert H. BaudAntoine GeissbühlerPublished in: Artif. Intell. Medicine (2003)
Keyphrases
- named entity recognition
- natural language processing
- spelling correction
- word sense disambiguation
- information extraction
- context sensitive
- named entities
- wordnet
- electronic patient record
- named entity disambiguation
- text summarization
- question answering
- maximum entropy
- text mining
- part of speech
- semantic role labeling
- english text
- semi supervised
- knowledge representation
- natural language
- relation extraction
- information retrieval
- machine translation
- bayesian networks
- artificial intelligence
- knowledge base
- discriminative training
- training data
- knowledge discovery
- co occurrence