Kashyap Coimbatore Murali

Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree

When annotators disagree, predicting the labels given by individual annotators can capture nuances overlooked by traditional label aggregation. We introduce three approaches to predict individual annotator ratings on the toxicity of text by incorporating individual annotator-specific information: a…