Who Do Perspectivist Models Predict Well? Annotator Agreement, Sparsity, and Performance
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.
By London Lowmanstone IV, Vaagishwaran Sivakumar, Anwesha Samaddar, Akul Mundada, Harnoor Kaur, Maria GiniarXiv - cs.CL (NLP)
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Originally published by arXiv - cs.CL (NLP) on Oct 19, 2026.
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