Papers by Ferenc Szigeti

1 papers
SHAP-Based Explanation Methods: A Review for NLP Interpretability (2022.coling-1)

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Challenge: Existing models with opacity problems have been proposed to address this problem.
Approach: They propose a unified local-interpretability framework with a rigorous theoretical foundation on the game-theoretic concept of Shapley values.
Outcome: The proposed framework is based on the Shapley-value-based model explanations.

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