Boosting for Efficient Model Selection for Syntactic Parsing.
Rachel BawdenBenoît CrabbéPublished in: COLING (2016)
Keyphrases
- model selection
- cross validation
- syntactic parsing
- sample size
- machine learning
- mixture model
- model selection criteria
- gaussian process
- feature selection
- generalization error
- selection criterion
- marginal likelihood
- unsupervised learning
- semantic role labeling
- bayesian networks
- learning algorithm
- information retrieval
- data mining
- automatic model selection