Self-Normalized Importance Sampling for Neural Language Modeling.
Zijian YangYingbo GaoAlexander GerstenbergerJintao JiangRalf SchlüterHermann NeyPublished in: CoRR (2021)
Keyphrases
- language modeling
- importance sampling
- language model
- monte carlo
- information retrieval
- query expansion
- retrieval model
- n gram
- probabilistic model
- markov chain
- kalman filter
- particle filter
- neural network
- approximate inference
- particle filtering
- posterior distribution
- text classification
- markov chain monte carlo
- document retrieval
- mixture model
- information retrieval systems
- similarity measure
- generative model
- probability distribution
- bayesian networks
- learning algorithm
- machine learning