"Evaluating the Faithfulness of Importance Measures in NLP by Recursively ..."

Andreas Madsen et al. (2022)

> Home

Details and statistics

DOI: 10.18653/V1/2022.FINDINGS-EMNLP.125

access: open

type: Conference or Workshop Paper

metadata version: 2023-08-10

- view
  - electronic edition via DOI (open access)
  - electronic edition @ aclanthology.org (open access)
  authority control:
- export record
  dblp key:
  - conf/emnlp/MadsenMAR22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/emnlp/MadsenMAR22
Andreas Madsen, Nicholas Meade, Vaibhav Adlakha, Siva Reddy:
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining. EMNLP (Findings) 2022: 1731-1751

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.