Discrete Latent Variable Representations for Low-Resource Text Classification.
Shuning JinSam WisemanKarl StratosKaren LivescuPublished in: ACL (2020)
Keyphrases
- latent variables
- text classification
- probabilistic model
- latent variable models
- probabilistic principal component analysis
- hierarchical model
- topic models
- text mining
- feature selection
- real valued
- bag of words
- machine learning
- random variables
- semantic features
- hidden variables
- prior knowledge
- n gram
- multi label
- text documents
- text categorization
- gaussian process
- text classifiers
- document classification
- co occurrence
- observed variables
- labeled data
- text data
- maximum likelihood
- data cleaning
- hidden markov models
- structured prediction
- probabilistic latent semantic analysis
- latent space
- image classification
- feature reduction