Explainable Artificial Intelligence in Natural Language Processing
Marian Gabriel Sandu, Ștefan Trăușan-Matu · International Joural of User-System Interaction · 2021
Explainable Artificial Intelligence has received a lot of interest and has been growing steadily in the last few years.This is because Machine Learning and Deep Learning domains overgrew creating more complex models that are highly accurate but lack explainability and interpretability.The aim of this paper is to present two most used modelagnostic explanation methods and experiment with them on a conversational dataset.