50 citations · 169 across the 13 of their papers we have counts for
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cs.CL2020★ 2 cited
QUACKIE: A NLP Classification Task With Ground Truth Explanations
Yves Rychener, Xavier Renard, Djamé Seddah +2
NLP Interpretability aims to increase trust in model predictions. This makes evaluating interpretability approaches a pressing issue. There are multiple datasets for evaluating NLP…
cs.CL2020★ 1 cited
On the Granularity of Explanations in Model Agnostic NLP Interpretability
Yves Rychener, Xavier Renard, Djamé Seddah +2
Current methods for Black-Box NLP interpretability, like LIME or SHAP, are based on altering the text to interpret by removing words and modeling the Black-Box response. In this pa…