A narrative survey of low-resource NLP evaluation identifies the Annotation Scarcity Paradox as a structural mismatch between scalable models and scarce sociolinguistic evaluation capacity.
On releasing annotator-level labels and information in datasets
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The Annotation Scarcity Paradox in Low-Resource NLP Evaluation: A Decade of Acceleration and Emerging Constraints
A narrative survey of low-resource NLP evaluation identifies the Annotation Scarcity Paradox as a structural mismatch between scalable models and scarce sociolinguistic evaluation capacity.