Grounding lexical choice in Bayesian inference.
Kyle AlbaradoMichael L. KalishPublished in: CogSci (2011)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- hyperparameters
- bayesian model
- statistical inference
- variational inference
- inference process
- hierarchical bayesian
- variational bayes
- weighted model counting
- wordnet
- particle filter
- prior distribution
- probabilistic modeling
- image reconstruction
- natural language processing
- markov chain monte carlo
- search algorithm
- information extraction
- expectation propagation
- gibbs sampler