Variational Smoothing in Recurrent Neural Network Language Models.
Lingpeng KongGábor MelisWang LingLei YuDani YogatamaPublished in: CoRR (2019)
Keyphrases
- recurrent neural networks
- language model
- smoothing methods
- language models for information retrieval
- language modeling
- statistical language modeling
- language modeling approaches
- feed forward
- dirichlet prior
- neural network
- n gram
- complex valued
- document retrieval
- probabilistic model
- retrieval model
- document length
- language modeling framework
- recurrent networks
- reservoir computing
- information retrieval
- image segmentation
- artificial neural networks
- context sensitive
- statistical language models
- query expansion
- language modelling
- echo state networks
- query terms
- test collection
- speech recognition
- query specific
- back propagation
- translation model
- ad hoc information retrieval
- naive bayes classification
- vector space model
- pseudo relevance feedback