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05/22/2022
Argumentative Explanations for Pattern-Based Text Classifiers
Recent works in Explainable AI mostly address the transparency issue of ...
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04/30/2021
Explanation-Based Human Debugging of NLP Models: A Survey
To fix a bug in a program, we need to locate where the bug is, understan...
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04/08/2021
GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns
Data exploration is an important step of every data science and machine ...
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12/10/2020
DAX: Deep Argumentative eXplanation for Neural Networks
Despite the rapid growth in attention on eXplainable AI (XAI) of late, e...
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10/10/2020
FIND: Human-in-the-Loop Debugging Deep Text Classifiers
Since obtaining a perfect training dataset (i.e., a dataset which is con...
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08/29/2019
Human-grounded Evaluations of Explanation Methods for Text Classification
Due to the black-box nature of deep learning models, methods for explain...
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03/29/2019
