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Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based
  Bias in NLP
v1v2 (latest)

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

28 February 2021
Timo Schick
Sahana Udupa
Hinrich Schütze
ArXiv (abs)PDFHTML

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

6 / 256 papers shown
Title
What's in the Box? A Preliminary Analysis of Undesirable Content in the
  Common Crawl Corpus
What's in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpus
A. Luccioni
J. Viviano
118
119
0
06 May 2021
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
Kang Min Yoo
Dongju Park
Jaewook Kang
Sang-Woo Lee
Woomyeong Park
120
244
0
18 Apr 2021
Generating Datasets with Pretrained Language Models
Generating Datasets with Pretrained Language Models
Timo Schick
Hinrich Schütze
178
235
0
15 Apr 2021
Unmasking the Mask -- Evaluating Social Biases in Masked Language Models
Unmasking the Mask -- Evaluating Social Biases in Masked Language Models
Masahiro Kaneko
Danushka Bollegala
69
72
0
15 Apr 2021
Detecting Hate Speech with GPT-3
Detecting Hate Speech with GPT-3
Ke-Li Chiu
Annie Collins
Rohan Alexander
AILaw
112
114
0
23 Mar 2021
Symbolic Behaviour in Artificial Intelligence
Symbolic Behaviour in Artificial Intelligence
Adam Santoro
Andrew Kyle Lampinen
Kory W. Mathewson
Timothy Lillicrap
David Raposo
83
34
0
05 Feb 2021
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