Training Conditional Random Fields with Unlabeled Data and Limited Number of Labeled Examples.
Tak-Lam WongWai LamPublished in: ICMLC (2005)
Keyphrases
- number of labeled examples
- conditional random fields
- unlabeled data
- semi supervised learning
- labeled examples
- labeled data
- semi supervised
- active learning
- graphical models
- supervised learning
- co training
- hidden markov models
- unlabeled instances
- training set
- probabilistic model
- higher order
- text classification
- training data
- semi supervised classification
- generative model
- unlabeled examples
- named entity recognition
- pairwise
- information extraction
- markov random field
- training examples
- text categorization
- learning algorithm
- data points
- class labels
- segmentation method
- prior knowledge
- label propagation
- labeled and unlabeled data
- labeled instances
- unsupervised learning
- training instances
- transfer learning
- data sets
- bayesian networks
- similarity measure
- machine learning