Human Interpretation of Saliency-based Explanation Over Text

Author:

Schuff Hendrik1,Jacovi Alon2,Adel Heike3,Goldberg Yoav4,Vu Ngoc Thang5

Affiliation:

1. Bosch Center for Artificial Intelligence, Germany and University of Stuttgart, Germany

2. Bar Ilan University, Israel

3. Bosch Center for Artificial Intelligence, Germany

4. Bar Ilan University, Israel and Allen Institute for Artificial Intelligence, Israel

5. University of Stuttgart, Germany

Funder

European Research Council (ERC) under the European Union?s Horizon 2020 research and innovation programme

Carl Zeiss Foundation

Publisher

ACM

Reference59 articles.

1. Julius Adebayo , Justin Gilmer , Michael Muelly , Ian  J. Goodfellow , Moritz Hardt , and Been Kim . 2018 . Sanity Checks for Saliency Maps. In Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018 , NeurIPS 2018, December 3-8, 2018, Montréal, Canada, Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, and Roman Garnett (Eds.). 9525–9536. https://proceedings.neurips.cc/paper/2018/hash/294a8ed24b1ad22ec2e7efea049b8737-Abstract.html Julius Adebayo, Justin Gilmer, Michael Muelly, Ian J. Goodfellow, Moritz Hardt, and Been Kim. 2018. Sanity Checks for Saliency Maps. In Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, and Roman Garnett (Eds.). 9525–9536. https://proceedings.neurips.cc/paper/2018/hash/294a8ed24b1ad22ec2e7efea049b8737-Abstract.html

2. Siddhant Arora Danish Pruthi Norman M. Sadeh William W. Cohen Zachary C. Lipton and Graham Neubig. 2021. Explain Edit and Understand: Rethinking User Study Design for Evaluating Model Explanations. CoRR abs/2112.09669(2021). arXiv:2112.09669https://arxiv.org/abs/2112.09669 Siddhant Arora Danish Pruthi Norman M. Sadeh William W. Cohen Zachary C. Lipton and Graham Neubig. 2021. Explain Edit and Understand: Rethinking User Study Design for Evaluating Model Explanations. CoRR abs/2112.09669(2021). arXiv:2112.09669https://arxiv.org/abs/2112.09669

3. Leila Arras , Franziska Horn , Grégoire Montavon , Klaus-Robert Müller , and Wojciech Samek . 2017. ” What is relevant in a text document?”: An interpretable machine learning approach. PloS one 12, 8 ( 2017 ), e0181142. Publisher : Public Library of Science San Francisco , CA USA. Leila Arras, Franziska Horn, Grégoire Montavon, Klaus-Robert Müller, and Wojciech Samek. 2017. ” What is relevant in a text document?”: An interpretable machine learning approach. PloS one 12, 8 (2017), e0181142. Publisher: Public Library of Science San Francisco, CA USA.

4. A Survey on the Explainability of Supervised Machine Learning

5. Machine Learning Interpretability;Carvalho V.;A Survey on Methods and Metrics. Electronics,2019

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