Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree

Harbani Jaggi, Kashyap Murali, Eve Fleisig +1

When annotators disagree, predicting the labels given by individual annotators can capture nuances overlooked by traditional label aggregation. We introduce three approaches to pre…