Towards making NLG a voice for interpretable Machine Learning

no code implementations • WS 2018 • James Forrest, Somayajulu Sripada, Wei Pang, George Coghill

This paper presents a study to understand the issues related to using NLG to humanise explanations from a popular interpretable machine learning framework called LIME.

BIG-bench Machine Learning Interpretable Machine Learning +1