Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.
Amir FederKatherine A. KeithEmaad ManzoorReid PryzantDhanya SridharZach Wood-DoughtyJacob EisensteinJustin GrimmerRoi ReichartMargaret E. RobertsBrandon M. StewartVictor VeitchDiyi YangPublished in: CoRR (2021)
Keyphrases
- causal inference
- natural language processing
- prediction accuracy
- additive noise
- abductive reasoning
- knowledge representation
- information extraction
- causal models
- machine learning
- text mining
- artificial intelligence
- rare events
- discrete data
- nonmonotonic reasoning
- natural language
- parameter estimation
- knowledge discovery
- maximum likelihood
- probability distribution
- expert systems