Variational Smoothing in Recurrent Neural Network Language Models.

Lingpeng Kong Gábor Melis Wang Ling Lei Yu Dani Yogatama

Published 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