Daniel Gallagher

SHAP-Based Explanation Methods: A Review for NLP Interpretability

Model explanations are crucial for the transparent, safe, and trustworthy deployment of machine learning models. The SHapley Additive exPlanations (SHAP) framework is considered by many to be a gold standard for local explanations thanks to its solid theoretical background and general applicability.…