Conditional Random Fields and Support Vector Machines for Disorder Named Entity Recognition in Clinical Texts.
Dingcheng LiGuergana SavovaKarin Kipper SchulerPublished in: BioNLP (2008)
Keyphrases
- named entity recognition
- conditional random fields
- support vector
- information extraction
- sequence labeling
- graphical models
- probabilistic model
- maximum entropy
- generative model
- hidden markov models
- higher order
- text summarization
- markov random field
- crf model
- named entities
- natural language processing
- pairwise
- annotated corpus
- multi class classification
- binary classification
- relation extraction
- semi supervised
- support vector machine
- classification accuracy
- natural language
- markov networks
- structured prediction
- feature selection
- svm classifier
- question answering
- multi class
- keywords
- artificial intelligence
- approximate inference
- knowledge discovery
- prior knowledge
- joint inference
- web page prediction