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Rule induction for global explanation of trained models

Rule induction for global explanation of trained models

29 August 2018
Madhumita Sushil
Simon Suster
Walter Daelemans
    FAtt
ArXivPDFHTML

Papers citing "Rule induction for global explanation of trained models"

2 / 2 papers shown
Title
Towards Explainable Evaluation Metrics for Natural Language Generation
Towards Explainable Evaluation Metrics for Natural Language Generation
Christoph Leiter
Piyawat Lertvittayakumjorn
M. Fomicheva
Wei Zhao
Yang Gao
Steffen Eger
AAML
ELM
30
20
0
21 Mar 2022
Towards Faithfully Interpretable NLP Systems: How should we define and
  evaluate faithfulness?
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?
Alon Jacovi
Yoav Goldberg
XAI
45
571
0
07 Apr 2020
1