Improving Coverage and Runtime Complexity for Exact Inference in Non-Projective Transition-Based Dependency Parsers.
Tianze ShiCarlos Gómez-RodríguezLillian LeePublished in: CoRR (2018)
Keyphrases
- exact inference
- graphical models
- approximate inference
- dependency parsing
- dependency parser
- bayesian networks
- probabilistic inference
- belief propagation
- belief networks
- structured prediction
- dynamic bayesian networks
- random variables
- computational complexity
- probability distribution
- parameter estimation
- conditional random fields
- latent variables
- active learning
- pairwise
- similarity measure