Compiling a Massive, Multilingual Dictionary via Probabilistic Inference.
MausamStephen SoderlandOren EtzioniDaniel S. WeldMichael SkinnerJeff A. BilmesPublished in: ACL/IJCNLP (2009)
Keyphrases
- probabilistic inference
- graphical models
- bayesian networks
- message passing
- weighted model counting
- belief networks
- conditional probabilities
- context specific independence
- approximate inference
- influence diagrams
- bayesian belief networks
- probabilistic reasoning
- cross lingual
- variable elimination
- efficient inference
- exact inference
- bucket elimination
- cross language information retrieval
- probabilistic model
- pairwise
- belief propagation
- domain knowledge
- artificial neural networks
- elimination algorithm
- neural network
- data sets