
Annotators often make errors in labeling data, and distinguishing between annotation errors and human label variation is crucial for improving NLP benchmarks.


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varierr-nli-separating-annotation-error-from-human-label-variation


VARIERR NLI: Separating Annotation Error from Human Label Variation


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Human label variation and annotation errors in NLP benchmarks require a systematic methodology for differentiation.


varierr-nli-an-analysis-of-annotation-error-and-human-label-variation-in-nlp-benchmarks


VARIERR NLI: An Analysis of Annotation Error and Human Label Variation in NLP Benchmarks
