Approximate Probabilistic Inference via Word-Level Counting.
Supratik ChakrabortyKuldeep S. MeelRakesh MistryMoshe Y. VardiPublished in: CoRR (2015)
Keyphrases
- probabilistic inference
- word level
- graphical models
- language independent
- document images
- message passing
- weighted model counting
- conditional probabilities
- bayesian networks
- machine translation
- n gram
- document analysis
- belief networks
- sentence level
- word segmentation
- belief propagation
- viterbi algorithm
- character recognition
- word recognition
- probabilistic model
- text classification
- natural language processing
- model counting