Self-Normalized Importance Sampling for Neural Language Modeling.
Zijian YangYingbo GaoAlexander GerstenbergerJintao JiangRalf SchlüterHermann NeyPublished in: INTERSPEECH (2022)
Keyphrases
- importance sampling
- language modeling
- language model
- monte carlo
- information retrieval
- retrieval model
- kalman filter
- markov chain
- query expansion
- probabilistic model
- neural network
- n gram
- text classification
- particle filter
- approximate inference
- particle filtering
- similarity measure
- information retrieval systems
- markov chain monte carlo
- machine learning
- test collection
- object tracking
- conditional random fields
- model selection
- principal component analysis
- probability distribution
- prior knowledge
- learning algorithm