Arjumand Younus

SHAP-RC: A Framework for Explaining Annotator Disagreement in Sexism Detection

2025 · Communications in computer and information science

Abstract The effectiveness of supervised machine learning models is heavily influenced by the quality of training data, which is often shaped by human annotators. Subjective NLP tasks such as hate speech detection, toxicity identification, and …