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