Learning Explanations from Language Data

Abstract

PatternAttribution is a recent method, introduced in the vision domain, that explains classifications of deep neural networks. We demonstrate that it also generates meaningful interpretations in the language domain.

Appears in 2018 EMNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP)