Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations

Contrastive explanation methods go beyond transparency and address the contrastive aspect of explanations. Such explanations are emerging as an attractive option to provide actionable change to scenarios adversely impacted by classifiers' decisions. However, their extension to textual data is u...

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Veröffentlicht in:	arXiv.org 2022-10
Hauptverfasser:	Julia El Zini, Awad, Mariette
Format:	Artikel
Sprache:	eng
Schlagworte:	Data mining Representations Robustness
Online-Zugang:	Volltext
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