Semi-supervised training for conditional random fields with pseudo auxiliary task.
Jie LiuYalou HuangPublished in: ICMLC (2011)
Keyphrases
- conditional random fields
- semi supervised
- structured prediction
- named entity recognition
- supervised training
- generative model
- pairwise
- partially labeled data
- probabilistic model
- supervised learning
- sequence labeling
- markov random field
- restricted boltzmann machine
- random fields
- graphical models
- crf model
- higher order
- hidden markov models
- maximum entropy
- information extraction
- training process
- error correcting output coding
- web page prediction
- labeled data
- semi supervised learning
- semi markov
- training examples
- weighted sums
- protein fold recognition
- training samples
- unlabeled data
- approximate inference
- active learning
- structured learning
- superpixels
- training set
- markov networks
- parameter learning
- maximum margin
- prior knowledge
- co training
- learning algorithm