Local Interpretations for Explainable Natural Language Processing: A Survey
Author:
Affiliation:
1. The University of Western Australia, Perth, Australia
2. University of Washington, Seattle, United States
3. The University of Melbourne, Melbourne, Australia
4. The University of Sydney, Sydney, Australia
Abstract
Publisher
Association for Computing Machinery (ACM)
Link
https://dl.acm.org/doi/pdf/10.1145/3649450
Reference200 articles.
1. Peeking inside the black-box: A survey on explainable artificial intelligence (XAI);Adadi Amina;IEEE Access,2018
2. Fine-grained analysis of sentence embeddings using auxiliary prediction tasks;Adi Yossi;arXiv preprint arXiv:1608.04207,2016
3. Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, Dinesh Khandelwal, Parag Singla, and Dinesh Garg. 2021. Explanations for commonsenseQA: New dataset and models. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, 3050–3065. DOI:10.18653/v1/2021.acl-long.238
4. Tariq Alhindi, Savvas Petridis, and Smaranda Muresan. 2018. Where is your evidence: Improving fact-checking by justification modeling. In Proceedings of the 1st Workshop on Fact Extraction and VERification (FEVER’18). Association for Computational Linguistics, 85–90. DOI:10.18653/v1/W18-5513
5. David Alvarez-Melis and Tommi Jaakkola. 2017. A causal framework for explaining the predictions of black-box sequence-to-sequence models. In Proceedings of the Conference on Empirical Methods in Natural Language Processing. 412–421.
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