Named Entity Recognition in Biomedical Literature: A Comparison of Support Vector Machines and Conditional Random Fields.
Feng LiuYifei ChenBernard ManderickPublished in: ICEIS (Selected Papers) (2007)
Keyphrases
- named entity recognition
- conditional random fields
- biomedical literature
- text mining
- information extraction
- support vector
- named entities
- sequence labeling
- natural language processing
- automatic extraction
- maximum entropy
- probabilistic model
- graphical models
- hidden markov models
- higher order
- crf model
- markov random field
- generative model
- protein protein interactions
- relation extraction
- annotated corpus
- text documents
- support vector machine
- pairwise
- structured prediction
- semi supervised
- maximum margin
- expert systems
- bayesian networks
- decision trees
- feature selection
- real world