Who Do Perspectivist Models Predict Well? Annotator Agreement, Sparsity, and Performance
arXiv:2610.22567v1 Announce Type: new Abstract: Successful completion of perspectivist natural language processing (NLP) annotation tasks requires algorithms to be aligned across diverse perspectives in order to predict how different humans will rate text. This work studies how the performance of s…
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- 2026-10-19 04:00 · arXiv cs.CL
Who Do Perspectivist Models Predict Well? Annotator Agreement, Sparsity, and Performance