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Towards an Enhanced Understanding of Bias in Pre-trained Neural Language
  Models: A Survey with Special Emphasis on Affective Bias

Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias

21 April 2022
Anoop Kadan
Manjary P.Gangan
Deepak P
L. LajishV.
    AI4CE
ArXivPDFHTML

Papers citing "Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias"

10 / 10 papers shown
Title
Characteristics of Harmful Text: Towards Rigorous Benchmarking of
  Language Models
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models
Maribeth Rauh
John F. J. Mellor
J. Uesato
Po-Sen Huang
Johannes Welbl
...
Amelia Glaese
G. Irving
Iason Gabriel
William S. Isaac
Lisa Anne Hendricks
30
49
0
16 Jun 2022
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing
  Language Models
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models
Robert Wolfe
Aylin Caliskan
85
51
0
01 Oct 2021
Mitigating Language-Dependent Ethnic Bias in BERT
Mitigating Language-Dependent Ethnic Bias in BERT
Jaimeen Ahn
Alice H. Oh
142
91
0
13 Sep 2021
Intersectional Bias in Causal Language Models
Intersectional Bias in Causal Language Models
Liam Magee
Lida Ghahremanlou
K. Soldatić
S. Robertson
191
31
0
16 Jul 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based
  Bias in NLP
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Timo Schick
Sahana Udupa
Hinrich Schütze
259
374
0
28 Feb 2021
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,452
0
18 Mar 2020
The Woman Worked as a Babysitter: On Biases in Language Generation
The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng
Kai-Wei Chang
Premkumar Natarajan
Nanyun Peng
223
616
0
03 Sep 2019
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,087
0
24 Oct 2016
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
181
3,510
0
10 Jun 2015
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
278
31,267
0
16 Jan 2013
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