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Gender Bias in Contextualized Word Embeddings

Gender Bias in Contextualized Word Embeddings

5 April 2019
Jieyu Zhao
Tianlu Wang
Mark Yatskar
Ryan Cotterell
Vicente Ordonez
Kai-Wei Chang
    FaML
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Papers citing "Gender Bias in Contextualized Word Embeddings"

41 / 241 papers shown
Title
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Tianlu Wang
Xi Lin
Nazneen Rajani
Bryan McCann
Vicente Ordonez
Caimng Xiong
CVBM
157
54
0
03 May 2020
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer
Jieyu Zhao
Subhabrata Mukherjee
Saghar Hosseini
Kai-Wei Chang
Ahmed Hassan Awadallah
14
88
0
02 May 2020
Multi-Dimensional Gender Bias Classification
Multi-Dimensional Gender Bias Classification
Emily Dinan
Angela Fan
Ledell Yu Wu
Jason Weston
Douwe Kiela
Adina Williams
FaML
22
122
0
01 May 2020
Do Neural Ranking Models Intensify Gender Bias?
Do Neural Ranking Models Intensify Gender Bias?
Navid Rekabsaz
Markus Schedl
16
57
0
01 May 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
47
207
0
01 May 2020
Does Data Augmentation Improve Generalization in NLP?
Does Data Augmentation Improve Generalization in NLP?
Rohan Jha
Charles Lovering
Ellie Pavlick
25
10
0
30 Apr 2020
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement
  and Counterfactual Generation
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation
Seung-Jae Shin
Kyungwoo Song
Joonho Jang
Hyemi Kim
Weonyoung Joo
Il-Chul Moon
30
20
0
07 Apr 2020
FairALM: Augmented Lagrangian Method for Training Fair Models with
  Little Regret
FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret
Vishnu Suresh Lokhande
A. K. Akash
Sathya Ravi
Vikas Singh
FaML
20
31
0
03 Apr 2020
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
H. Zhang
Amy X. Lu
Mohamed Abdalla
Matthew B. A. McDermott
Marzyeh Ghassemi
10
171
0
11 Mar 2020
Measuring Social Biases in Grounded Vision and Language Embeddings
Measuring Social Biases in Grounded Vision and Language Embeddings
Candace Ross
Boris Katz
Andrei Barbu
22
63
0
20 Feb 2020
Algorithmic Fairness
Algorithmic Fairness
Dana Pessach
E. Shmueli
FaML
33
386
0
21 Jan 2020
RobBERT: a Dutch RoBERTa-based Language Model
RobBERT: a Dutch RoBERTa-based Language Model
Pieter Delobelle
Thomas Winters
Bettina Berendt
15
233
0
17 Jan 2020
RECAST: Interactive Auditing of Automatic Toxicity Detection Models
RECAST: Interactive Auditing of Automatic Toxicity Detection Models
Austin P. Wright
Omar Shaikh
Haekyu Park
Will Epperson
Muhammed Ahmed
Stephane Pinel
Diyi Yang
Duen Horng Chau
KELM
31
6
0
07 Jan 2020
Think Locally, Act Globally: Federated Learning with Local and Global
  Representations
Think Locally, Act Globally: Federated Learning with Local and Global Representations
Paul Pu Liang
Terrance Liu
Liu Ziyin
Nicholas B. Allen
Randy P. Auerbach
David Brent
Ruslan Salakhutdinov
Louis-Philippe Morency
FedML
32
551
0
06 Jan 2020
Generating Interactive Worlds with Text
Generating Interactive Worlds with Text
Angela Fan
Jack Urbanek
Pratik Ringshia
Emily Dinan
Emma Qian
...
Shrimai Prabhumoye
Douwe Kiela
Tim Rocktaschel
Arthur Szlam
Jason Weston
27
27
0
20 Nov 2019
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation
Emily Dinan
Angela Fan
Adina Williams
Jack Urbanek
Douwe Kiela
Jason Weston
32
206
0
10 Nov 2019
Towards Understanding Gender Bias in Relation Extraction
Towards Understanding Gender Bias in Relation Extraction
Andrew Gaut
Tony Sun
Shirlyn Tang
Yuxin Huang
Jing Qian
...
Jieyu Zhao
Diba Mirza
E. Belding
Kai-Wei Chang
William Yang Wang
FaML
33
40
0
09 Nov 2019
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
Po-Sen Huang
Huan Zhang
Ray Jiang
Robert Stanforth
Johannes Welbl
Jack W. Rae
Vishal Maini
Dani Yogatama
Pushmeet Kohli
33
206
0
08 Nov 2019
Coreference Resolution as Query-based Span Prediction
Coreference Resolution as Query-based Span Prediction
Wei Wu
Fei Wang
Arianna Yuan
Fei Wu
Jiwei Li
LRM
36
180
0
05 Nov 2019
Assessing Social and Intersectional Biases in Contextualized Word
  Representations
Assessing Social and Intersectional Biases in Contextualized Word Representations
Y. Tan
Elisa Celis
FaML
27
223
0
04 Nov 2019
Man is to Person as Woman is to Location: Measuring Gender Bias in Named
  Entity Recognition
Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition
Ninareh Mehrabi
Thamme Gowda
Fred Morstatter
Nanyun Peng
Aram Galstyan
15
57
0
24 Oct 2019
A Neural Entity Coreference Resolution Review
A Neural Entity Coreference Resolution Review
Nikolaos Stylianou
I. Vlahavas
24
38
0
21 Oct 2019
A General Framework for Implicit and Explicit Debiasing of
  Distributional Word Vector Spaces
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces
Anne Lauscher
Goran Glavas
Simone Paolo Ponzetto
Ivan Vulić
29
61
0
13 Sep 2019
Examining Gender Bias in Languages with Grammatical Gender
Examining Gender Bias in Languages with Grammatical Gender
Pei Zhou
Weijia Shi
Jieyu Zhao
Kuan-Hao Huang
Muhao Chen
Ryan Cotterell
Kai-Wei Chang
18
103
0
05 Sep 2019
Rotate King to get Queen: Word Relationships as Orthogonal
  Transformations in Embedding Space
Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space
Kawin Ethayarajh
LLMSV
18
13
0
02 Sep 2019
Automatically Inferring Gender Associations from Language
Automatically Inferring Gender Associations from Language
Serina Chang
Kathleen McKeown
FaML
10
11
0
30 Aug 2019
Unlearn Dataset Bias in Natural Language Inference by Fitting the
  Residual
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual
He He
Sheng Zha
Haohan Wang
22
197
0
28 Aug 2019
On Measuring and Mitigating Biased Inferences of Word Embeddings
On Measuring and Mitigating Biased Inferences of Word Embeddings
Sunipa Dev
Tao Li
J. M. Phillips
Vivek Srikumar
12
167
0
25 Aug 2019
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
338
4,230
0
23 Aug 2019
Multilingual, Multi-scale and Multi-layer Visualization of Intermediate
  Representations
Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations
Carlos Escolano
Marta R. Costa-jussá
Elora Lacroux
Pere-Pau Vázquez
AI4TS
13
6
0
01 Jul 2019
Good Secretaries, Bad Truck Drivers? Occupational Gender Stereotypes in
  Sentiment Analysis
Good Secretaries, Bad Truck Drivers? Occupational Gender Stereotypes in Sentiment Analysis
J. Bhaskaran
Isha Bhallamudi
27
46
0
24 Jun 2019
Mitigating Gender Bias in Natural Language Processing: Literature Review
Mitigating Gender Bias in Natural Language Processing: Literature Review
Tony Sun
Andrew Gaut
Shirlyn Tang
Yuxin Huang
Mai Elsherief
Jieyu Zhao
Diba Mirza
E. Belding-Royer
Kai-Wei Chang
William Yang Wang
AI4CE
47
542
0
21 Jun 2019
Measuring Bias in Contextualized Word Representations
Measuring Bias in Contextualized Word Representations
Keita Kurita
Nidhi Vyas
Ayush Pareek
A. Black
Yulia Tsvetkov
63
444
0
18 Jun 2019
Conceptor Debiasing of Word Representations Evaluated on WEAT
Conceptor Debiasing of Word Representations Evaluated on WEAT
S. Karve
Lyle Ungar
João Sedoc
FaML
22
33
0
14 Jun 2019
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in
  Languages with Rich Morphology
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology
Ran Zmigrod
Sabrina J. Mielke
Hanna M. Wallach
Ryan Cotterell
6
274
0
11 Jun 2019
Variational Pretraining for Semi-supervised Text Classification
Variational Pretraining for Semi-supervised Text Classification
Suchin Gururangan
T. Dang
Dallas Card
Noah A. Smith
VLM
13
111
0
05 Jun 2019
Entity-Centric Contextual Affective Analysis
Entity-Centric Contextual Affective Analysis
Anjalie Field
Yulia Tsvetkov
30
31
0
05 Jun 2019
Fair is Better than Sensational:Man is to Doctor as Woman is to Doctor
Fair is Better than Sensational:Man is to Doctor as Woman is to Doctor
Malvina Nissim
Rik van Noord
Rob van der Goot
FaML
23
102
0
23 May 2019
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings
Christine Basta
Marta R. Costa-jussá
Noe Casas
16
189
0
18 Apr 2019
Measuring Societal Biases from Text Corpora with Smoothed First-Order
  Co-occurrence
Measuring Societal Biases from Text Corpora with Smoothed First-Order Co-occurrence
Navid Rekabsaz
Robert West
James Henderson
Allan Hanbury
13
0
0
13 Dec 2018
Gender Bias in Neural Natural Language Processing
Gender Bias in Neural Natural Language Processing
Kaiji Lu
Piotr (Peter) Mardziel
Fangjing Wu
Preetam Amancharla
Anupam Datta
29
347
0
31 Jul 2018
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