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On the Granularity of Explanations in Model Agnostic NLP
  Interpretability
v1v2v3 (latest)

On the Granularity of Explanations in Model Agnostic NLP Interpretability

24 December 2020
Yves Rychener
X. Renard
Djamé Seddah
P. Frossard
Marcin Detyniecki
    MILMFAtt
ArXiv (abs)PDFHTML

Papers citing "On the Granularity of Explanations in Model Agnostic NLP Interpretability"

2 / 2 papers shown
The FIX Benchmark: Extracting Features Interpretable to eXperts
The FIX Benchmark: Extracting Features Interpretable to eXperts
Helen Jin
Shreya Havaldar
Chaehyeon Kim
Anton Xue
Weiqiu You
...
Bhuvnesh Jain
Amin Madani
M. Sako
Lyle Ungar
Eric Wong
455
4
0
20 Sep 2024
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency PropertyInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Yuya Yoshikawa
Masanari Kimura
Ryotaro Shimizu
Yuki Saito
FAtt
412
0
0
23 May 2024
1
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