Revisiting Sample Size Determination in Natural Language Understanding.
Ernie ChangMuhammad Hassan RashidPin-Jie LinChangsheng ZhaoVera DembergYangyang ShiVikas ChandraPublished in: ACL (Findings) (2023)
Keyphrases
- sample size
- natural language understanding
- text understanding
- semantic analysis
- natural language
- knowledge representation
- language understanding
- model selection
- upper bound
- natural language processing
- covariance matrix
- small sample size
- random sampling
- small sample
- pac learning
- worst case
- statistical power
- variance reduction
- semantic representations
- statistical hypothesis testing
- spoken dialog systems
- progressive sampling
- small samples
- random sample
- dialogue system
- uniform sampling
- artificial intelligence
- keywords
- high level
- information retrieval