Jialin Yu jialin.yu@durham.ac.uk
Academic Visitor
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations
Yu, Jialin; Cristea, Alexandra I.; Harit, Anoushka; Sun, Zhongtian; Aduragba, Olanrewaju Tahir; Shi, Lei; Al Moubayed, Noura
Authors
Professor Alexandra Cristea alexandra.i.cristea@durham.ac.uk
Professor
Anoushka Harit anoushka.harit@durham.ac.uk
PGR Student Master of Science
Zhongtian Sun
Olanrewaju Aduragba olanrewaju.m.aduragba@durham.ac.uk
PGR Student Doctor of Philosophy
Lei Shi
Dr Noura Al Moubayed noura.al-moubayed@durham.ac.uk
Associate Professor
Abstract
XAI with natural language processing aims to produce human-readable explanations as evidence for AI decisionmaking, which addresses explainability and transparency. However, from an HCI perspective, the current approaches only focus on delivering a single explanation, which fails to account for the diversity of human thoughts and experiences in language. This paper thus addresses this gap, by proposing a generative XAI framework, INTERACTION (explaIn aNd predicT thEn queRy with contextuAl CondiTional varIational autO-eNcoder). Our novel framework presents explanation in two steps: (step one) Explanation and Label Prediction; and (step two) Diverse Evidence Generation. We conduct intensive experiments with the Transformer architecture on a benchmark dataset, e-SNLI [1]. Our method achieves competitive or better performance against state-of-the-art baseline models on explanation generation (up to 4.7% gain in BLEU) and prediction (up to 4.4% gain in accuracy) in step one
Citation
Yu, J., Cristea, A. I., Harit, A., Sun, Z., Aduragba, O. T., Shi, L., & Al Moubayed, N. (2022). INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. . https://doi.org/10.1109/ijcnn55064.2022.9892336
Conference Name | 2022 International Joint Conference on Neural Networks (IJCNN) |
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Conference Location | Padova, Italy |
Start Date | Jul 18, 2022 |
End Date | Jul 23, 2022 |
Acceptance Date | Apr 26, 2022 |
Online Publication Date | Sep 30, 2022 |
Publication Date | 2022 |
Deposit Date | Aug 31, 2022 |
Publicly Available Date | Mar 29, 2024 |
Series ISSN | 2161-4393,2161-4407 |
DOI | https://doi.org/10.1109/ijcnn55064.2022.9892336 |
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