1 code implementation • Findings (ACL) 2022 • Samuel Rönnqvist, Aki-Juhani Kyröläinen, Amanda Myntti, Filip Ginter, Veronika Laippala
Input saliency methods have recently become a popular tool for explaining predictions of deep learning models in NLP.
no code implementations • 31 Aug 2021 • Samuel Rönnqvist, Amanda Myntti, Aki-Juhani Kyröläinen, Sampo Pyysalo, Veronika Laippala, Filip Ginter
In this work, we propose a method for explaining classes using deep learning models and the Integrated Gradients feature attribution technique by aggregating explanations of individual examples in text classification to general descriptions of the classes.