Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling.
Feng JiaoShaojun WangChi-Hoon LeeRussell GreinerDale SchuurmansPublished in: ACL (2006)
Keyphrases
- conditional random fields
- image labeling
- crf model
- semantic segmentation
- semi supervised
- sequence classification
- named entity recognition
- graphical models
- segmentation method
- generative model
- pairwise
- markov random field
- sequence labeling
- information extraction
- image segmentation
- probabilistic model
- hidden markov models
- structured prediction
- higher order
- maximum entropy
- random fields
- parameter learning
- semi supervised learning
- approximate inference
- semi markov
- protein fold recognition
- web page prediction
- active learning
- markov models
- unlabeled data
- unsupervised learning
- superpixels
- web pages
- multi class
- label propagation
- data mining
- multiscale
- supervised learning
- graph cuts
- latent variables
- labeled data
- markov networks
- segmentation algorithm
- object segmentation