Generative and Discriminative Text Classification with Recurrent Neural Networks.

Dani Yogatama Chris Dyer Wang Ling Phil Blunsom

Published in: CoRR (2017)

Keyphrases

recurrent neural networks
text classification
discriminative methods
bag of words
unsupervised learning
discriminative models
feature selection
discriminative learning
generative and discriminative models
generative model
fisher kernel

conditional likelihood
discriminative training
text categorization
naive bayes
text mining
neural network
bayesian network classifiers
discriminative classifiers
feed forward
n gram
reservoir computing

feedforward neural networks
echo state networks
labeled data
semi supervised
recurrent networks
text classifiers
data cleaning
knn
machine learning
neural model
semi supervised learning

multi label
semantic features
probabilistic model
cascade correlation
artificial neural networks
nonlinear dynamic systems
image classification
neural models
image representation
feature extraction
artificial intelligence