Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP.
Xudong HanTimothy BaldwinTrevor CohnPublished in: EACL (2023)
Keyphrases
- model selection
- cross validation
- sample size
- hyperparameters
- statistical learning
- parameter estimation
- machine learning
- bayesian learning
- mixture model
- error estimation
- natural language processing
- meta learning
- generalization error
- regression model
- variable selection
- statistical inference
- feature selection
- text mining
- marginal likelihood
- model selection criteria
- selection criterion
- information criterion
- bayesian methods
- information extraction
- bayesian networks
- real world
- maximum likelihood
- parameter determination
- bayesian model selection