Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP | Citedby Results | Transactions of the Association for Computational Linguistics | MIT Press

Skip to Main Content

Skip Nav Destination

Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP

Transactions of the Association for Computational Linguistics (2021) 9: 1408–1424.

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

True Few-Shot Learning with Prompts—A Real-World Perspective

Timo Schick
Hinrich Schütze

Transactions of the Association for Computational Linguistics (2022) 10: 716.

Speciesist language and nonhuman animal bias in English Masked Language Models

Masashi Takeshita
Rafal Rzepka
Kenji Araki

Information Processing & Management (2022) 59 (5): 103050.