Training Conditional Random Fields Using Incomplete Annotations.
Yuta TsuboiHisashi KashimaShinsuke MoriHiroki OdaYuji MatsumotoPublished in: COLING (2008)
Keyphrases
- conditional random fields
- structured prediction
- supervised training
- graphical models
- probabilistic model
- error correcting output coding
- hidden markov models
- sequence labeling
- named entity recognition
- higher order
- generative model
- restricted boltzmann machine
- maximum entropy
- pairwise
- web page prediction
- conditional likelihood
- information extraction
- image labeling
- crf model
- markov random field
- random fields
- markov networks
- semi markov
- markov models
- structured output
- weighted sums
- multiclass classification
- approximate inference
- contextual features
- protein fold recognition
- training set
- training samples
- undirected graphical models
- clustering algorithm
- multi class
- image segmentation