Local Interpretations for Explainable Natural Language Processing: A Survey

arXiv:2103.11072v3 Announce Type: replace
Abstract: As the use of deep learning techniques has grown across various fields over the past decade, complaints about the opaqueness of the black-box models have increased, resulting in an increased focus on transparency in deep learning models. This work investigates various methods to improve the interpretability of deep neural networks for Natural Language Processing (NLP) tasks, including machine translation and sentiment analysis. We provide a comprehensive discussion on the definition of the term interpretability and …

abstract arxiv box cs.ai cs.cl deep learning deep learning techniques fields focus interpretability language language processing natural natural language natural language processing processing survey transparency type work