Bayesian Kernel Methods for Natural Language Processing.
Daniel BeckPublished in: ACL (Student Research Workshop) (2014)
Keyphrases
- clustering algorithm
- kernel methods
- natural language processing
- machine learning
- learning problems
- information extraction
- kernel function
- feature space
- support vector
- k means
- natural language
- text mining
- kernel matrix
- support vector machine
- reproducing kernel hilbert space
- learning tasks
- kernel matrices
- computational biology
- image restoration
- kernel pca
- graph kernels
- kernel trick
- learning frameworks
- kernel ridge regression
- semantic relations
- data sets
- multiple kernel learning
- multiple kernel