Competitive generative models with structure learning for NLP classification tasks.
Kristina ToutanovaPublished in: EMNLP (2006)
Keyphrases
- generative model
- structure learning
- parameter learning
- graphical models
- probabilistic model
- bayesian networks
- natural language processing
- conditional independence
- em algorithm
- markov networks
- bayesian framework
- mixture model
- parameter estimation
- posterior probability
- markov logic networks
- discriminative learning
- discriminative models
- expectation maximization
- conditional random fields
- transfer learning
- information extraction
- prior knowledge
- random variables
- natural language
- text mining
- approximate inference
- semi supervised
- network structure
- belief propagation
- hidden variables
- unsupervised learning
- active learning
- knowledge representation
- machine learning
- conditional probabilities
- markov random field
- topic models
- maximum likelihood
- semi supervised learning