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On Measuring Social Biases in Sentence Encoders

On Measuring Social Biases in Sentence Encoders

25 March 2019
Chandler May
Alex Jinpeng Wang
Shikha Bordia
Samuel R. Bowman
Rachel Rudinger
ArXivPDFHTML

Papers citing "On Measuring Social Biases in Sentence Encoders"

50 / 367 papers shown
Title
Mind Your Bias: A Critical Review of Bias Detection Methods for
  Contextual Language Models
Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language Models
Silke Husse
Andreas Spitz
6
6
0
15 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
23
2
0
14 Nov 2022
Debiasing Methods for Fairer Neural Models in Vision and Language
  Research: A Survey
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey
Otávio Parraga
Martin D. Móre
C. M. Oliveira
Nathan Gavenski
L. S. Kupssinskü
Adilson Medronha
L. V. Moura
Gabriel S. Simões
Rodrigo C. Barros
34
11
0
10 Nov 2022
ADEPT: A DEbiasing PrompT Framework
ADEPT: A DEbiasing PrompT Framework
Ke Yang
Charles Yu
Yi Ren Fung
Manling Li
Heng Ji
11
23
0
10 Nov 2022
SocioProbe: What, When, and Where Language Models Learn about
  Sociodemographics
SocioProbe: What, When, and Where Language Models Learn about Sociodemographics
Anne Lauscher
Federico Bianchi
Samuel R. Bowman
Dirk Hovy
19
7
0
08 Nov 2022
Bridging Fairness and Environmental Sustainability in Natural Language
  Processing
Bridging Fairness and Environmental Sustainability in Natural Language Processing
Marius Hessenthaler
Emma Strubell
Dirk Hovy
Anne Lauscher
16
8
0
08 Nov 2022
Sentiment Classification of Code-Switched Text using Pre-trained
  Multilingual Embeddings and Segmentation
Sentiment Classification of Code-Switched Text using Pre-trained Multilingual Embeddings and Segmentation
Saurav K. Aryal
H. Prioleau
Gloria J. Washington
11
2
0
29 Oct 2022
MABEL: Attenuating Gender Bias using Textual Entailment Data
MABEL: Attenuating Gender Bias using Textual Entailment Data
Jacqueline He
Mengzhou Xia
C. Fellbaum
Danqi Chen
11
32
0
26 Oct 2022
Detecting Unintended Social Bias in Toxic Language Datasets
Detecting Unintended Social Bias in Toxic Language Datasets
Nihar Ranjan Sahoo
Himanshu Gupta
P. Bhattacharyya
11
17
0
21 Oct 2022
Choose Your Lenses: Flaws in Gender Bias Evaluation
Choose Your Lenses: Flaws in Gender Bias Evaluation
Hadas Orgad
Yonatan Belinkov
22
35
0
20 Oct 2022
Social Biases in Automatic Evaluation Metrics for NLG
Social Biases in Automatic Evaluation Metrics for NLG
Mingqi Gao
Xiaojun Wan
17
3
0
17 Oct 2022
BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for
  Text Generation
BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation
Tianxiang Sun
Junliang He
Xipeng Qiu
Xuanjing Huang
22
44
0
14 Oct 2022
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense
  Reasoning Models
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models
Haozhe An
Zongxia Li
Jieyu Zhao
Rachel Rudinger
8
25
0
13 Oct 2022
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm
  Reduction
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction
Renee Shelby
Shalaleh Rismani
Kathryn Henne
AJung Moon
Negar Rostamzadeh
...
N'Mah Yilla-Akbari
Jess Gallegos
A. Smart
Emilio Garcia
Gurleen Virk
34
188
0
11 Oct 2022
Quantifying Social Biases Using Templates is Unreliable
Quantifying Social Biases Using Templates is Unreliable
P. Seshadri
Pouya Pezeshkpour
Sameer Singh
49
33
0
09 Oct 2022
Toxicity in Multilingual Machine Translation at Scale
Toxicity in Multilingual Machine Translation at Scale
Marta R. Costa-jussá
Eric Michael Smith
C. Ropers
Daniel Licht
Jean Maillard
Javier Ferrando
Carlos Escolano
22
24
0
06 Oct 2022
Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and
  their Social Biases in Downstream Tasks
Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
14
41
0
06 Oct 2022
Debiasing Word Embeddings with Nonlinear Geometry
Debiasing Word Embeddings with Nonlinear Geometry
Lu Cheng
Nayoung Kim
Huan Liu
16
5
0
29 Aug 2022
Learning Dynamic Contextualised Word Embeddings via Template-based
  Temporal Adaptation
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation
Xiaohang Tang
Yi Zhou
Danushka Bollegala
16
6
0
23 Aug 2022
The Birth of Bias: A case study on the evolution of gender bias in an
  English language model
The Birth of Bias: A case study on the evolution of gender bias in an English language model
Oskar van der Wal
Jaap Jumelet
K. Schulz
Willem H. Zuidema
24
16
0
21 Jul 2022
A Multibias-mitigated and Sentiment Knowledge Enriched Transformer for
  Debiasing in Multimodal Conversational Emotion Recognition
A Multibias-mitigated and Sentiment Knowledge Enriched Transformer for Debiasing in Multimodal Conversational Emotion Recognition
Jinglin Wang
Fang Ma
Yazhou Zhang
Dawei Song
13
4
0
17 Jul 2022
FairDistillation: Mitigating Stereotyping in Language Models
FairDistillation: Mitigating Stereotyping in Language Models
Pieter Delobelle
Bettina Berendt
20
8
0
10 Jul 2022
Gender Biases and Where to Find Them: Exploring Gender Bias in
  Pre-Trained Transformer-based Language Models Using Movement Pruning
Gender Biases and Where to Find Them: Exploring Gender Bias in Pre-Trained Transformer-based Language Models Using Movement Pruning
Przemyslaw K. Joniak
Akiko Aizawa
6
26
0
06 Jul 2022
Block-SCL: Blocking Matters for Supervised Contrastive Learning in
  Product Matching
Block-SCL: Blocking Matters for Supervised Contrastive Learning in Product Matching
Mario Almagro
David Jiménez-Cabello
Diego Ortego
Emilio Almazán
Eva Martínez
11
3
0
05 Jul 2022
American == White in Multimodal Language-and-Image AI
American == White in Multimodal Language-and-Image AI
Robert Wolfe
Aylin Caliskan
VLM
19
46
0
01 Jul 2022
Theory-Grounded Measurement of U.S. Social Stereotypes in English
  Language Models
Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models
Yang Trista Cao
Anna Sotnikova
Hal Daumé
Rachel Rudinger
L. Zou
6
46
0
23 Jun 2022
Towards WinoQueer: Developing a Benchmark for Anti-Queer Bias in Large
  Language Models
Towards WinoQueer: Developing a Benchmark for Anti-Queer Bias in Large Language Models
Virginia K. Felkner
Ho-Chun Herbert Chang
Eugene Jang
Jonathan May
OSLM
16
8
0
23 Jun 2022
Fewer Errors, but More Stereotypes? The Effect of Model Size on Gender
  Bias
Fewer Errors, but More Stereotypes? The Effect of Model Size on Gender Bias
Yarden Tal
Inbal Magar
Roy Schwartz
9
33
0
20 Jun 2022
What Changed? Investigating Debiasing Methods using Causal Mediation
  Analysis
What Changed? Investigating Debiasing Methods using Causal Mediation Analysis
Su-Ha Jeoung
Jana Diesner
CML
11
7
0
01 Jun 2022
Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of
  Movie Dialogues
Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues
Sandhya Singh
Prapti Roy
Nihar Ranjan Sahoo
Niteesh Mallela
Himanshu Gupta
...
Milind Savagaonkar
Nidhi
Roshni Ramnani
Anutosh Maitra
Shubhashis Sengupta
17
13
0
31 May 2022
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious
  Feature-Label Correlation
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation
Yanrui Du
Jing Yang
Yan Chen
Jing Liu
Sendong Zhao
Qiaoqiao She
Huaqin Wu
Haifeng Wang
Bing Qin
22
9
0
25 May 2022
Conditional Supervised Contrastive Learning for Fair Text Classification
Conditional Supervised Contrastive Learning for Fair Text Classification
Jianfeng Chi
Will Shand
Yaodong Yu
Kai-Wei Chang
Han Zhao
Yuan Tian
FaML
41
14
0
23 May 2022
Markedness in Visual Semantic AI
Markedness in Visual Semantic AI
Robert Wolfe
Aylin Caliskan
VLM
16
35
0
23 May 2022
Evidence for Hypodescent in Visual Semantic AI
Evidence for Hypodescent in Visual Semantic AI
Robert Wolfe
M. Banaji
Aylin Caliskan
VLM
25
36
0
22 May 2022
How to keep text private? A systematic review of deep learning methods
  for privacy-preserving natural language processing
How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing
Samuel Sousa
Roman Kern
PILM
AILaw
6
39
0
20 May 2022
Gender Bias in Meta-Embeddings
Gender Bias in Meta-Embeddings
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
32
6
0
19 May 2022
"I'm sorry to hear that": Finding New Biases in Language Models with a
  Holistic Descriptor Dataset
"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset
Eric Michael Smith
Melissa Hall
Melanie Kambadur
Eleonora Presani
Adina Williams
65
129
0
18 May 2022
Dialog Inpainting: Turning Documents into Dialogs
Dialog Inpainting: Turning Documents into Dialogs
Zhuyun Dai
Arun Tejasvi Chaganty
Vincent Zhao
Aida Amini
Q. Rashid
Mike Green
Kelvin Guu
16
63
0
18 May 2022
Theories of "Gender" in NLP Bias Research
Theories of "Gender" in NLP Bias Research
Hannah Devinney
Jenny Björklund
H. Björklund
AI4CE
13
65
0
05 May 2022
Gender Bias in Masked Language Models for Multiple Languages
Gender Bias in Masked Language Models for Multiple Languages
Masahiro Kaneko
Aizhan Imankulova
Danushka Bollegala
Naoaki Okazaki
12
61
0
01 May 2022
RobBERTje: a Distilled Dutch BERT Model
RobBERTje: a Distilled Dutch BERT Model
Pieter Delobelle
Thomas Winters
Bettina Berendt
16
14
0
28 Apr 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
25
10
0
21 Apr 2022
Analyzing Gender Representation in Multilingual Models
Analyzing Gender Representation in Multilingual Models
Hila Gonen
Shauli Ravfogel
Yoav Goldberg
10
11
0
20 Apr 2022
How Gender Debiasing Affects Internal Model Representations, and Why It
  Matters
How Gender Debiasing Affects Internal Model Representations, and Why It Matters
Hadas Orgad
Seraphina Goldfarb-Tarrant
Yonatan Belinkov
13
18
0
14 Apr 2022
What do Toothbrushes do in the Kitchen? How Transformers Think our World
  is Structured
What do Toothbrushes do in the Kitchen? How Transformers Think our World is Structured
Alexander Henlein
Alexander Mehler
17
6
0
12 Apr 2022
Fair and Argumentative Language Modeling for Computational Argumentation
Fair and Argumentative Language Modeling for Computational Argumentation
Carolin Holtermann
Anne Lauscher
Simone Paolo Ponzetto
11
21
0
08 Apr 2022
Mapping the Multilingual Margins: Intersectional Biases of Sentiment
  Analysis Systems in English, Spanish, and Arabic
Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and Arabic
Antonio Camara
Nina Taneja
Tamjeed Azad
Emily Allaway
R. Zemel
11
21
0
07 Apr 2022
Probing Pre-Trained Language Models for Cross-Cultural Differences in
  Values
Probing Pre-Trained Language Models for Cross-Cultural Differences in Values
Arnav Arora
Lucie-Aimée Kaffee
Isabelle Augenstein
VLM
23
121
0
25 Mar 2022
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models
  with Adversarial Learning
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning
Hugo Elias Berg
S. Hall
Yash Bhalgat
Wonsuk Yang
Hannah Rose Kirk
Aleksandar Shtedritski
Max Bain
VLM
17
99
0
22 Mar 2022
Mitigating Gender Bias in Machine Translation through Adversarial
  Learning
Mitigating Gender Bias in Machine Translation through Adversarial Learning
Eve Fleisig
C. Fellbaum
12
9
0
20 Mar 2022
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