Generative and Discriminative Text Classification with Recurrent Neural Networks.
Dani YogatamaChris DyerWang LingPhil BlunsomPublished 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