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2009.05021
Cited By
Investigating Gender Bias in BERT
Cognitive Computation (Cogn Comput), 2020
10 September 2020
Rishabh Bhardwaj
Navonil Majumder
Soujanya Poria
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Papers citing
"Investigating Gender Bias in BERT"
42 / 42 papers shown
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Fan Zhou
273
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Rik Raes
Saskia Lensink
Mykola Pechenizkiy
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NLP4PBM: A Systematic Review on Process Extraction using Natural Language Processing with Rule-based, Machine and Deep Learning Methods
Enterprise Information Systems (EIS), 2024
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213
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The Language of Weather: Social Media Reactions to Weather Accounting for Climatic and Linguistic Baselines
James C. Young
Rudy Arthur
Hywel T. P. Williams
187
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Blended Bots: Infiltration through Identity Deception on Social Media
Samantha C. Phillips
Lynnette Hui Xian Ng
Kathleen M. Carley
223
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0
07 Jun 2024
Projective Methods for Mitigating Gender Bias in Pre-trained Language Models
Hillary Dawkins
I. Nejadgholi
Daniel Gillis
J. McCuaig
193
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0
27 Mar 2024
cantnlp@LT-EDI-2024: Automatic Detection of Anti-LGBTQ+ Hate Speech in Under-resourced Languages
Sidney Gig-Jan Wong
Matthew Durward
189
1
0
28 Jan 2024
An investigation of structures responsible for gender bias in BERT and DistilBERT
International Symposium on Intelligent Data Analysis (IDA), 2024
Thibaud Leteno
Antoine Gourru
Charlotte Laclau
Christophe Gravier
207
8
0
12 Jan 2024
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
468
23
0
26 Dec 2023
Benefits and Harms of Large Language Models in Digital Mental Health
Munmun De Choudhury
Sachin R. Pendse
Neha Kumar
LM&MA
AI4MH
274
69
0
07 Nov 2023
Studying the impacts of pre-training using ChatGPT-generated text on downstream tasks
Sarthak Anand
176
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0
02 Sep 2023
Gender Bias in BERT -- Measuring and Analysing Biases through Sentiment Rating in a Realistic Downstream Classification Task
Sophie F. Jentzsch
Cigdem Turan
173
45
0
27 Jun 2023
Gender Bias in Transformer Models: A comprehensive survey
Praneeth Nemani
Yericherla Deepak Joel
Pallavi Vijay
Farhana Ferdousi Liza
220
6
0
18 Jun 2023
Are fairness metric scores enough to assess discrimination biases in machine learning?
Fanny Jourdan
Laurent Risser
Jean-Michel Loubes
Nicholas M. Asher
FaML
256
6
0
08 Jun 2023
Evaluation of Social Biases in Recent Large Pre-Trained Models
Swapnil Sharma
Nikita Anand
V. KranthiKiranG.
Alind Jain
134
0
0
13 Apr 2023
Parameter-efficient Modularised Bias Mitigation via AdapterFusion
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Deepak Kumar
Oleg Lesota
George Zerveas
Daniel Cohen
Carsten Eickhoff
Markus Schedl
Navid Rekabsaz
MoMe
KELM
347
33
0
13 Feb 2023
Measuring Harmful Representations in Scandinavian Language Models
Samia Touileb
Debora Nozza
299
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0
21 Nov 2022
Does Debiasing Inevitably Degrade the Model Performance
Yiran Liu
Xiao-Yang Liu
Haotian Chen
Yang Yu
278
3
0
14 Nov 2022
Montague semantics and modifier consistency measurement in neural language models
International Conference on Computational Linguistics (COLING), 2022
Danilo S. Carvalho
Edoardo Manino
Julia Rozanova
Lucas C. Cordeiro
André Freitas
231
0
0
10 Oct 2022
Power of Explanations: Towards automatic debiasing in hate speech detection
International Conference on Data Science and Advanced Analytics (DSAA), 2022
Yitao Cai
Arthur Zimek
Gerhard Wunder
Eirini Ntoutsi
167
9
0
07 Sep 2022
Debiasing Gender Bias in Information Retrieval Models
Dhanasekar Sundararaman
Vivek Subramanian
172
2
0
02 Aug 2022
Toward Understanding Bias Correlations for Mitigation in NLP
Lu Cheng
Suyu Ge
Huan Liu
224
9
0
24 May 2022
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
172
1
0
16 May 2022
Theories of "Gender" in NLP Bias Research
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Hannah Devinney
Jenny Björklund
H. Björklund
AI4CE
343
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0
05 May 2022
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
311
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0
21 Apr 2022
Identifying and Measuring Token-Level Sentiment Bias in Pre-trained Language Models with Prompts
Apoorv Garg
Deval Srivastava
Zhiyang Xu
Lifu Huang
112
6
0
15 Apr 2022
Quantifying Societal Bias Amplification in Image Captioning
Computer Vision and Pattern Recognition (CVPR), 2022
Yusuke Hirota
Yuta Nakashima
Noa Garcia
268
58
0
29 Mar 2022
Finding Structural Knowledge in Multimodal-BERT
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Victor Milewski
Miryam de Lhoneux
Marie-Francine Moens
280
12
0
17 Mar 2022
Measuring CLEVRness: Blackbox testing of Visual Reasoning Models
International Conference on Learning Representations (ICLR), 2022
Spyridon Mouselinos
Henryk Michalewski
Mateusz Malinowski
282
4
0
24 Feb 2022
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access
Vilém Zouhar
Marius Mosbach
Debanjali Biswas
Dietrich Klakow
KELM
252
6
0
24 Jan 2022
Gender Bias in Text: Labeled Datasets and Lexicons
Jad Doughman
Wael Khreich
204
11
0
21 Jan 2022
Unintended Bias in Language Model-driven Conversational Recommendation
Tianshu Shen
Jiaru Li
Mohamed Reda Bouadjenek
Zheda Mai
Scott Sanner
221
7
0
17 Jan 2022
A Survey on Gender Bias in Natural Language Processing
Karolina Stañczak
Isabelle Augenstein
239
149
0
28 Dec 2021
LoNLI: An Extensible Framework for Testing Diverse Logical Reasoning Capabilities for NLI
Language Resources and Evaluation (LRE), 2021
Ishan Tarunesh
Somak Aditya
Monojit Choudhury
ELM
LRM
189
4
0
04 Dec 2021
On the Universality of Deep Contextual Language Models
Shaily Bhatt
Poonam Goyal
Sandipan Dandapat
Monojit Choudhury
Sunayana Sitaram
ELM
296
5
0
15 Sep 2021
Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Piotr Pikekos
Henryk Michalewski
Mateusz Malinowski
187
30
0
07 Jun 2021
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers
Findings (Findings), 2021
Chuhan Wu
Fangzhao Wu
Yongfeng Huang
199
72
0
02 Jun 2021
What's in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpus
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
A. Luccioni
J. Viviano
423
137
0
06 May 2021
Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders
Brendan Chambers
James A. Evans
MedIm
212
0
0
13 Apr 2021
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models
Neural Information Processing Systems (NeurIPS), 2021
Hannah Rose Kirk
Yennie Jun
Haider Iqbal
Elias Benussi
Filippo Volpin
F. Dreyer
Aleksandar Shtedritski
Yuki M. Asano
302
224
0
08 Feb 2021
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning
Xisen Jin
Francesco Barbieri
Brendan Kennedy
Aida Mostafazadeh Davani
Leonardo Neves
Xiang Ren
247
5
0
24 Oct 2020
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
IEEE Transactions on Affective Computing (IEEE TAC), 2020
Soujanya Poria
Devamanyu Hazarika
Navonil Majumder
Amélie Reymond
679
221
0
01 May 2020
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