Exact Inference for Generative Probabilistic Non-Projective Dependency Parsing.
Shay B. CohenCarlos Gómez-RodríguezGiorgio SattaPublished in: EMNLP (2011)
Keyphrases
- dependency parsing
- exact inference
- graphical models
- approximate inference
- bayesian networks
- belief networks
- probabilistic inference
- belief propagation
- dependency parser
- structured prediction
- variational methods
- latent variables
- approximation algorithms
- dynamic bayesian networks
- syntactic semantic
- message passing
- conditional random fields
- random variables
- probabilistic model
- markov networks
- gaussian process
- maximum margin
- parameter estimation
- maximum likelihood
- support vector machine