Conditional random fields versus template-matching in MT phrasing tasks involving sparse training data.
George TambouratzisPublished in: Pattern Recognit. Lett. (2015)
Keyphrases
- template matching
- conditional random fields
- sequence labeling
- training data
- graphical models
- probabilistic model
- contextual features
- higher order
- information extraction
- deformable templates
- hidden markov models
- markov random field
- crf model
- object recognition
- matching algorithm
- named entity recognition
- random fields
- structured prediction
- training set
- generative model
- web page prediction
- semi markov
- dependency parsing
- error correcting output coding
- image matching
- prior knowledge
- face recognition
- decision trees
- segmentation method
- support vector machine
- pairwise
- machine learning
- named entities
- test data
- co occurrence
- supervised learning
- image analysis
- learning algorithm
- information retrieval