Explanation-Based Human Debugging of NLP Models: A Survey

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Explanation-Based Human Debugging of NLP Models: A Survey

Transactions of the Association for Computational Linguistics (TACL), 2021

30 April 2021

Piyawat Lertvittayakumjorn

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Papers citing "Explanation-Based Human Debugging of NLP Models: A Survey"

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Title
Combining Transformers with Natural Language Explanations Federico Ruggeri Marco Lippi Paolo Torroni 285 1 0 02 Sep 2021
Jointly Attacking Graph Neural Network and its ExplanationsIEEE International Conference on Data Engineering (ICDE), 2021 Wenqi Fan Wei Jin Xiaorui Liu Han Xu Xianfeng Tang Suhang Wang Qing Li Shucheng Zhou Jianping Wang Charu C. Aggarwal AAML 220 33 0 07 Aug 2021
GrASP: A Library for Extracting and Exploring Human-Interpretable Textual PatternsInternational Conference on Language Resources and Evaluation (LREC), 2021 Piyawat Lertvittayakumjorn Leshem Choshen Eyal Shnarch Francesca Toni 223 7 0 08 Apr 2021
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Ian Tenney James Wexler Jasmijn Bastings Tolga Bolukbasi Andy Coenen ... Ellen Jiang Mahima Pushkarna Carey Radebaugh Emily Reif Ann Yuan VLM 350 208 0 12 Aug 2020
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 2.2K 19,454 0 16 Feb 2016