Analyzing Sequence Data Based on Conditional Random Fields with Co-training.
Leilei YangGuiquan LiuQi LiuLei ZhangEnhong ChenPublished in: CIS (2012)
Keyphrases
- conditional random fields
- sequence data
- co training
- sequence classification
- unlabeled data
- semi supervised learning
- semi supervised
- multi view
- partially labeled data
- hidden markov models
- graphical models
- single view
- information extraction
- text classification
- probabilistic model
- supervised learning
- generative model
- labeled data
- maximum entropy
- pairwise
- higher order
- named entities
- markov random field
- training examples
- markov models
- superpixels
- machine learning
- structured prediction
- data points
- markov networks
- active learning
- support vector machine
- segmentation method
- labeled and unlabeled data
- unsupervised learning
- data sets