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Investigating Gender Bias in BERT

Investigating Gender Bias in BERT

10 September 2020
Rishabh Bhardwaj
Navonil Majumder
Soujanya Poria
ArXivPDFHTML

Papers citing "Investigating Gender Bias in BERT"

43 / 43 papers shown
Title
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences
Liu Yu
Ludie Guo
Ping Kuang
Fan Zhou
44
0
0
12 Jan 2025
Everyone deserves their voice to be heard: Analyzing Predictive Gender
  Bias in ASR Models Applied to Dutch Speech Data
Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data
Rik Raes
Saskia Lensink
Mykola Pechenizkiy
27
0
0
14 Nov 2024
NLP4PBM: A Systematic Review on Process Extraction using Natural
  Language Processing with Rule-based, Machine and Deep Learning Methods
NLP4PBM: A Systematic Review on Process Extraction using Natural Language Processing with Rule-based, Machine and Deep Learning Methods
William Van Woensel
Soroor Motie
18
0
0
10 Sep 2024
The Language of Weather: Social Media Reactions to Weather Accounting
  for Climatic and Linguistic Baselines
The Language of Weather: Social Media Reactions to Weather Accounting for Climatic and Linguistic Baselines
James C. Young
Rudy Arthur
Hywel T. P. Williams
21
0
0
10 Jul 2024
Blended Bots: Infiltration through Identity Deception on Social Media
Blended Bots: Infiltration through Identity Deception on Social Media
Samantha C. Phillips
Lynnette Hui Xian Ng
Kathleen M. Carley
20
0
0
07 Jun 2024
Projective Methods for Mitigating Gender Bias in Pre-trained Language
  Models
Projective Methods for Mitigating Gender Bias in Pre-trained Language Models
Hillary Dawkins
I. Nejadgholi
Daniel Gillis
J. McCuaig
16
0
0
27 Mar 2024
cantnlp@LT-EDI-2024: Automatic Detection of Anti-LGBTQ+ Hate Speech in
  Under-resourced Languages
cantnlp@LT-EDI-2024: Automatic Detection of Anti-LGBTQ+ Hate Speech in Under-resourced Languages
Sidney Gig-Jan Wong
Matthew Durward
14
0
0
28 Jan 2024
An investigation of structures responsible for gender bias in BERT and
  DistilBERT
An investigation of structures responsible for gender bias in BERT and DistilBERT
Thibaud Leteno
Antoine Gourru
Charlotte Laclau
Christophe Gravier
38
4
0
12 Jan 2024
The Media Bias Taxonomy: A Systematic Literature Review on the Forms and
  Automated Detection of Media Bias
The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias
Timo Spinde
Smilla Hinterreiter
Fabian Haak
Terry Ruas
Helge Giese
Norman Meuschke
Bela Gipp
19
12
0
26 Dec 2023
Benefits and Harms of Large Language Models in Digital Mental Health
Benefits and Harms of Large Language Models in Digital Mental Health
Munmun De Choudhury
Sachin R. Pendse
Neha Kumar
LM&MA
AI4MH
27
41
0
07 Nov 2023
Studying the impacts of pre-training using ChatGPT-generated text on
  downstream tasks
Studying the impacts of pre-training using ChatGPT-generated text on downstream tasks
Sarthak Anand
21
0
0
02 Sep 2023
Gender Bias in BERT -- Measuring and Analysing Biases through Sentiment
  Rating in a Realistic Downstream Classification Task
Gender Bias in BERT -- Measuring and Analysing Biases through Sentiment Rating in a Realistic Downstream Classification Task
Sophie F. Jentzsch
Cigdem Turan
13
31
0
27 Jun 2023
Gender Bias in Transformer Models: A comprehensive survey
Gender Bias in Transformer Models: A comprehensive survey
Praneeth Nemani
Yericherla Deepak Joel
Pallavi Vijay
Farhana Ferdousi Liza
24
3
0
18 Jun 2023
Are fairness metric scores enough to assess discrimination biases in
  machine learning?
Are fairness metric scores enough to assess discrimination biases in machine learning?
Fanny Jourdan
Laurent Risser
Jean-Michel Loubes
Nicholas M. Asher
FaML
16
5
0
08 Jun 2023
Evaluation of Social Biases in Recent Large Pre-Trained Models
Evaluation of Social Biases in Recent Large Pre-Trained Models
Swapnil Sharma
Nikita Anand
V. KranthiKiranG.
Alind Jain
26
0
0
13 Apr 2023
Parameter-efficient Modularised Bias Mitigation via AdapterFusion
Parameter-efficient Modularised Bias Mitigation via AdapterFusion
Deepak Kumar
Oleg Lesota
George Zerveas
Daniel Cohen
Carsten Eickhoff
Markus Schedl
Navid Rekabsaz
MoMe
KELM
18
24
0
13 Feb 2023
Measuring Harmful Representations in Scandinavian Language Models
Measuring Harmful Representations in Scandinavian Language Models
Samia Touileb
Debora Nozza
17
10
0
21 Nov 2022
Does Debiasing Inevitably Degrade the Model Performance
Does Debiasing Inevitably Degrade the Model Performance
Yiran Liu
Xiao-Yang Liu
Haotian Chen
Yang Yu
33
2
0
14 Nov 2022
Montague semantics and modifier consistency measurement in neural
  language models
Montague semantics and modifier consistency measurement in neural language models
Danilo S. Carvalho
Edoardo Manino
Julia Rozanova
Lucas C. Cordeiro
André Freitas
21
0
0
10 Oct 2022
Power of Explanations: Towards automatic debiasing in hate speech
  detection
Power of Explanations: Towards automatic debiasing in hate speech detection
Yitao Cai
Arthur Zimek
Gerhard Wunder
Eirini Ntoutsi
34
6
0
07 Sep 2022
Debiasing Gender Bias in Information Retrieval Models
Debiasing Gender Bias in Information Retrieval Models
Dhanasekar Sundararaman
Vivek Subramanian
11
2
0
02 Aug 2022
Toward Understanding Bias Correlations for Mitigation in NLP
Toward Understanding Bias Correlations for Mitigation in NLP
Lu Cheng
Suyu Ge
Huan Liu
33
8
0
24 May 2022
Assessing the Limits of the Distributional Hypothesis in Semantic
  Spaces: Trait-based Relational Knowledge and the Impact of Co-occurrences
Assessing the Limits of the Distributional Hypothesis in Semantic Spaces: Trait-based Relational Knowledge and the Impact of Co-occurrences
Mark Anderson
Jose Camacho-Collados
32
0
0
16 May 2022
Theories of "Gender" in NLP Bias Research
Theories of "Gender" in NLP Bias Research
Hannah Devinney
Jenny Björklund
H. Björklund
AI4CE
15
65
0
05 May 2022
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
Anoop Kadan
Manjary P.Gangan
Deepak P
L. LajishV.
AI4CE
34
10
0
21 Apr 2022
Identifying and Measuring Token-Level Sentiment Bias in Pre-trained
  Language Models with Prompts
Identifying and Measuring Token-Level Sentiment Bias in Pre-trained Language Models with Prompts
Apoorv Garg
Deval Srivastava
Zhiyang Xu
Lifu Huang
16
5
0
15 Apr 2022
Quantifying Societal Bias Amplification in Image Captioning
Quantifying Societal Bias Amplification in Image Captioning
Yusuke Hirota
Yuta Nakashima
Noa Garcia
19
49
0
29 Mar 2022
Finding Structural Knowledge in Multimodal-BERT
Finding Structural Knowledge in Multimodal-BERT
Victor Milewski
Miryam de Lhoneux
Marie-Francine Moens
21
9
0
17 Mar 2022
Measuring CLEVRness: Blackbox testing of Visual Reasoning Models
Measuring CLEVRness: Blackbox testing of Visual Reasoning Models
Spyridon Mouselinos
Henryk Michalewski
Mateusz Malinowski
15
3
0
24 Feb 2022
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access
Vilém Zouhar
Marius Mosbach
Debanjali Biswas
Dietrich Klakow
KELM
27
4
0
24 Jan 2022
Gender Bias in Text: Labeled Datasets and Lexicons
Gender Bias in Text: Labeled Datasets and Lexicons
Jad Doughman
Wael Khreich
27
8
0
21 Jan 2022
Unintended Bias in Language Model-driven Conversational Recommendation
Unintended Bias in Language Model-driven Conversational Recommendation
Tianshu Shen
Jiaru Li
Mohamed Reda Bouadjenek
Zheda Mai
Scott Sanner
9
7
0
17 Jan 2022
A Survey on Gender Bias in Natural Language Processing
A Survey on Gender Bias in Natural Language Processing
Karolina Stañczak
Isabelle Augenstein
30
109
0
28 Dec 2021
LoNLI: An Extensible Framework for Testing Diverse Logical Reasoning
  Capabilities for NLI
LoNLI: An Extensible Framework for Testing Diverse Logical Reasoning Capabilities for NLI
Ishan Tarunesh
Somak Aditya
Monojit Choudhury
ELM
LRM
31
4
0
04 Dec 2021
On the Universality of Deep Contextual Language Models
On the Universality of Deep Contextual Language Models
Shaily Bhatt
Poonam Goyal
Sandipan Dandapat
Monojit Choudhury
Sunayana Sitaram
ELM
25
5
0
15 Sep 2021
Measuring and Improving BERT's Mathematical Abilities by Predicting the
  Order of Reasoning
Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning
Piotr Pikekos
Henryk Michalewski
Mateusz Malinowski
22
28
0
07 Jun 2021
One Teacher is Enough? Pre-trained Language Model Distillation from
  Multiple Teachers
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers
Chuhan Wu
Fangzhao Wu
Yongfeng Huang
21
63
0
02 Jun 2021
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
24
113
0
06 May 2021
Semantic maps and metrics for science Semantic maps and metrics for
  science using deep transformer encoders
Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders
Brendan Chambers
James A. Evans
MedIm
13
0
0
13 Apr 2021
Bias Out-of-the-Box: An Empirical Analysis of Intersectional
  Occupational Biases in Popular Generative Language Models
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models
Hannah Rose Kirk
Yennie Jun
Haider Iqbal
Elias Benussi
Filippo Volpin
F. Dreyer
Aleksandar Shtedritski
Yuki M. Asano
16
180
0
08 Feb 2021
On Transferability of Bias Mitigation Effects in Language Model
  Fine-Tuning
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning
Xisen Jin
Francesco Barbieri
Brendan Kennedy
Aida Mostafazadeh Davani
Leonardo Neves
Xiang Ren
35
5
0
24 Oct 2020
Beneath the Tip of the Iceberg: Current Challenges and New Directions in
  Sentiment Analysis Research
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
Soujanya Poria
Devamanyu Hazarika
Navonil Majumder
Rada Mihalcea
42
207
0
01 May 2020
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
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