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Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings

Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings

11 March 2020
H. Zhang
Amy X. Lu
Mohamed Abdalla
Matthew B. A. McDermott
Marzyeh Ghassemi
ArXivPDFHTML

Papers citing "Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings"

39 / 39 papers shown
Title
Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health
Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health
Mira Moukheiber
L. Moukheiber
Dana Moukheiber
Hyung-Chul Lee
109
2
0
23 Feb 2025
Learning Disease Progression Models That Capture Health Disparities
Learning Disease Progression Models That Capture Health Disparities
Erica Chiang
Divya Shanmugam
Ashley N. Beecy
Gabriel Sayer
Nir Uriel
Deborah Estrin
N. Garg
85
0
0
20 Dec 2024
Natural Language Processing for Human Resources: A Survey
Natural Language Processing for Human Resources: A Survey
Naoki Otani
Nikita Bhutani
Estevam R. Hruschka
VLM
59
0
0
21 Oct 2024
The Point of View of a Sentiment: Towards Clinician Bias Detection in Psychiatric Notes
The Point of View of a Sentiment: Towards Clinician Bias Detection in Psychiatric Notes
Alissa A. Valentine
L. Lepow
L. Chan
Alexander W. Charney
Isotta Landi
42
0
0
31 May 2024
The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective
The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective
George Gui
Olivier Toubia
78
32
0
24 Dec 2023
CheXclusion: Fairness gaps in deep chest X-ray classifiers
CheXclusion: Fairness gaps in deep chest X-ray classifiers
Laleh Seyyed-Kalantari
Guanxiong Liu
Matthew B. A. McDermott
Irene Y. Chen
Marzyeh Ghassemi
OOD
68
289
0
14 Feb 2020
Assessing Social and Intersectional Biases in Contextualized Word
  Representations
Assessing Social and Intersectional Biases in Contextualized Word Representations
Y. Tan
Elisa Celis
FaML
51
226
0
04 Nov 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
488
4,308
0
23 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
408
24,160
0
26 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
183
8,386
0
19 Jun 2019
Measuring Bias in Contextualized Word Representations
Measuring Bias in Contextualized Word Representations
Keita Kurita
Nidhi Vyas
Ayush Pareek
A. Black
Yulia Tsvetkov
75
448
0
18 Jun 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
40
189
0
18 Apr 2019
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital
  Readmission
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
Kexin Huang
Jaan Altosaar
Rajesh Ranganath
OOD
74
882
0
10 Apr 2019
Publicly Available Clinical BERT Embeddings
Publicly Available Clinical BERT Embeddings
Emily Alsentzer
John R. Murphy
Willie Boag
W. Weng
Di Jin
Tristan Naumann
Matthew B. A. McDermott
AI4MH
125
1,956
0
06 Apr 2019
Gender Bias in Contextualized Word Embeddings
Gender Bias in Contextualized Word Embeddings
Jieyu Zhao
Tianlu Wang
Mark Yatskar
Ryan Cotterell
Vicente Ordonez
Kai-Wei Chang
FaML
77
417
0
05 Apr 2019
SciBERT: A Pretrained Language Model for Scientific Text
SciBERT: A Pretrained Language Model for Scientific Text
Iz Beltagy
Kyle Lo
Arman Cohan
81
2,948
0
26 Mar 2019
Enhancing Clinical Concept Extraction with Contextual Embeddings
Enhancing Clinical Concept Extraction with Contextual Embeddings
Yuqi Si
Jingqi Wang
Hua Xu
Kirk Roberts
AI4MH
45
288
0
22 Feb 2019
Bias in Bios: A Case Study of Semantic Representation Bias in a
  High-Stakes Setting
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
Maria De-Arteaga
Alexey Romanov
Hanna M. Wallach
J. Chayes
C. Borgs
Alexandra Chouldechova
S. Geyik
K. Kenthapadi
Adam Tauman Kalai
119
449
0
27 Jan 2019
BioBERT: a pre-trained biomedical language representation model for
  biomedical text mining
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee
Wonjin Yoon
Sungdong Kim
Donghyeon Kim
Sunkyu Kim
Chan Ho So
Jaewoo Kang
OOD
111
5,579
0
25 Jan 2019
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias
  in Deep Image Representations
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations
Tianlu Wang
Jieyu Zhao
Mark Yatskar
Kai-Wei Chang
Vicente Ordonez
FaML
62
17
0
20 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
966
93,936
0
11 Oct 2018
Understanding the Origins of Bias in Word Embeddings
Understanding the Origins of Bias in Word Embeddings
Marc-Etienne Brunet
Colleen Alkalay-Houlihan
Ashton Anderson
R. Zemel
FaML
48
200
0
08 Oct 2018
Model Cards for Model Reporting
Model Cards for Model Reporting
Margaret Mitchell
Simone Wu
Andrew Zaldivar
Parker Barnes
Lucy Vasserman
Ben Hutchinson
Elena Spitzer
Inioluwa Deborah Raji
Timnit Gebru
99
1,869
0
05 Oct 2018
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk
Stephen Pfohl
Ben J. Marafino
Adrien Coulet
F. Rodriguez
L. Palaniappan
N. Shah
43
66
0
12 Sep 2018
Learning Gender-Neutral Word Embeddings
Learning Gender-Neutral Word Embeddings
Jieyu Zhao
Yichao Zhou
Zeyu Li
Wei Wang
Kai-Wei Chang
FaML
66
410
0
29 Aug 2018
Adversarial Removal of Demographic Attributes from Text Data
Adversarial Removal of Demographic Attributes from Text Data
Yanai Elazar
Yoav Goldberg
FaML
66
305
0
20 Aug 2018
Fairness Without Demographics in Repeated Loss Minimization
Fairness Without Demographics in Repeated Loss Minimization
Tatsunori B. Hashimoto
Megha Srivastava
Hongseok Namkoong
Percy Liang
FaML
74
581
0
20 Jun 2018
Why Is My Classifier Discriminatory?
Why Is My Classifier Discriminatory?
Irene Y. Chen
Fredrik D. Johansson
David Sontag
FaML
54
395
0
30 May 2018
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
323
678
0
17 Feb 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
111
11,520
0
15 Feb 2018
Mitigating Unwanted Biases with Adversarial Learning
Mitigating Unwanted Biases with Adversarial Learning
B. Zhang
Blake Lemoine
Margaret Mitchell
FaML
111
1,373
0
22 Jan 2018
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes
Nikhil Garg
L. Schiebinger
Dan Jurafsky
James Zou
AI4TS
45
952
0
22 Nov 2017
Data Decisions and Theoretical Implications when Adversarially Learning
  Fair Representations
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations
Alex Beutel
Jilin Chen
Zhe Zhao
Ed H. Chi
FaML
83
442
0
01 Jul 2017
Multitask learning and benchmarking with clinical time series data
Multitask learning and benchmarking with clinical time series data
Hrayr Harutyunyan
Hrant Khachatrian
David C. Kale
Greg Ver Steeg
Aram Galstyan
OOD
AI4TS
120
867
0
22 Mar 2017
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
124
4,276
0
07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores
Inherent Trade-Offs in the Fair Determination of Risk Scores
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
FaML
84
1,762
0
19 Sep 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word
  Embeddings
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi
Kai-Wei Chang
James Zou
Venkatesh Saligrama
Adam Kalai
CVBM
FaML
59
3,115
0
21 Jul 2016
Censoring Representations with an Adversary
Censoring Representations with an Adversary
Harrison Edwards
Amos Storkey
AAML
FaML
47
504
0
18 Nov 2015
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
300
33,445
0
16 Oct 2013
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