Challenges of Using Text Classifiers for Causal Inference.
Zach Wood-DoughtyIlya ShpitserMark DredzePublished in: CoRR (2018)
Keyphrases
- learning algorithm
- causal inference
- text classifiers
- text classification
- text categorization
- additive noise
- causal models
- discrete data
- document classification
- naive bayes
- nonmonotonic reasoning
- abductive reasoning
- maximum likelihood
- text data
- neural network
- rare events
- high level
- k nearest neighbor
- semi supervised
- support vector machine