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cs.CL2026
Who Do Perspectivist Models Predict Well? Annotator Agreement, Sparsity, and Performance
London Lowmanstone, Vaagishwaran Sivakumar, Anwesha Samaddar +3
Successful completion of perspectivist natural language processing (NLP) annotation tasks requires algorithms to be aligned across diverse perspectives in order to predict how diff…
cs.CL2023
Annotation Imputation to Individualize Predictions: Initial Studies on Distribution Dynamics and Model Predictions
London Lowmanstone, Ruyuan Wan, Risako Owan +2
Annotating data via crowdsourcing is time-consuming and expensive. Due to these costs, dataset creators often have each annotator label only a small subset of the data. This leads…