Distributed training for Conditional Random Fields.
Xiaojun LinLiang ZhaoDianhai YuXihong WuPublished in: NLPKE (2010)
Keyphrases
- conditional random fields
- structured prediction
- supervised training
- graphical models
- error correcting output coding
- probabilistic model
- random fields
- sequence labeling
- image labeling
- restricted boltzmann machine
- maximum entropy
- named entity recognition
- information extraction
- crf model
- higher order
- hidden markov models
- web page prediction
- pairwise
- markov random field
- semi markov
- contextual features
- parameter learning
- generative model
- superpixels
- markov models
- distributed systems
- approximate inference
- training set
- multi class
- weighted sums
- structured output
- training samples
- undirected graphical models
- supervised learning
- conditional likelihood
- protein fold recognition
- loopy belief propagation
- segmentation method