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Exploring the Trade-off Between Model Performance and Explanation
  Plausibility of Text Classifiers Using Human Rationales

Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales

3 April 2024
Lucas Resck
Marcos M. Raimundo
Jorge Poco
ArXivPDFHTML

Papers citing "Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales"

4 / 4 papers shown
Title
Explanation Regularisation through the Lens of Attributions
Explanation Regularisation through the Lens of Attributions
Pedro Ferreira
Wilker Aziz
Ivan Titov
23
1
0
23 Jul 2024
Quantifying Explainability in NLP and Analyzing Algorithms for
  Performance-Explainability Tradeoff
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff
Michael J. Naylor
C. French
Samantha R. Terker
Uday Kamath
25
10
0
12 Jul 2021
Weakly Supervised Multi-task Learning for Concept-based Explainability
Weakly Supervised Multi-task Learning for Concept-based Explainability
Catarina Belém
Vladimir Balayan
Pedro Saleiro
P. Bizarro
63
10
0
26 Apr 2021
e-SNLI: Natural Language Inference with Natural Language Explanations
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
252
620
0
04 Dec 2018
1