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Predictive Biases in Natural Language Processing Models: A Conceptual
  Framework and Overview

Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview

9 November 2019
Deven Santosh Shah
H. A. Schwartz
Dirk Hovy
    AI4CE
ArXivPDFHTML

Papers citing "Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview"

50 / 54 papers shown
Title
Position: Model Collapse Does Not Mean What You Think
Position: Model Collapse Does Not Mean What You Think
Rylan Schaeffer
Joshua Kazdan
Alvan Caleb Arulandu
Sanmi Koyejo
64
0
0
05 Mar 2025
The Call for Socially Aware Language Technologies
The Call for Socially Aware Language Technologies
Diyi Yang
Dirk Hovy
David Jurgens
Barbara Plank
VLM
61
11
0
24 Feb 2025
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers
Chenyang Yang
Tesi Xiao
Michael Shavlovsky
Christian Kastner
Tongshuang Wu
37
0
0
07 Nov 2024
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
Xi Fang
Weijie Xu
Fiona Anting Tan
Jiani Zhang
Ziqing Hu
Yanjun Qi
Scott Nickleach
Diego Socolinsky
Srinivasan H. Sengamedu
Christos Faloutsos
LMTD
ALM
37
66
0
27 Feb 2024
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using
  LLMs
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs
Chenyang Yang
Rishabh Rustogi
Rachel A. Brower-Sinning
Grace A. Lewis
Christian Kastner
Tongshuang Wu
KELM
32
11
0
14 Oct 2023
Thesis Distillation: Investigating The Impact of Bias in NLP Models on
  Hate Speech Detection
Thesis Distillation: Investigating The Impact of Bias in NLP Models on Hate Speech Detection
Fatma Elsafoury
27
3
0
31 Aug 2023
A Survey on Fairness in Large Language Models
A Survey on Fairness in Large Language Models
Yingji Li
Mengnan Du
Rui Song
Xin Wang
Ying Wang
ALM
52
59
0
20 Aug 2023
Adding guardrails to advanced chatbots
Adding guardrails to advanced chatbots
Yanchen Wang
Lisa Singh
AI4MH
17
7
0
13 Jun 2023
Psychological Metrics for Dialog System Evaluation
Psychological Metrics for Dialog System Evaluation
Salvatore Giorgi
Shreya Havaldar
Farhan S. Ahmed
Zuhaib Akhtar
Shalaka Vaidya
Gary Pan
Pallavi V. Kulkarni
H. A. Schwartz
Joao Sedoc
22
2
0
24 May 2023
On the Origins of Bias in NLP through the Lens of the Jim Code
On the Origins of Bias in NLP through the Lens of the Jim Code
Fatma Elsafoury
Gavin Abercrombie
41
4
0
16 May 2023
In-Depth Look at Word Filling Societal Bias Measures
In-Depth Look at Word Filling Societal Bias Measures
Matúš Pikuliak
Ivana Benová
Viktor Bachratý
21
9
0
24 Feb 2023
Why Can't Discourse Parsing Generalize? A Thorough Investigation of the
  Impact of Data Diversity
Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity
Yang Liu
Amir Zeldes
8
18
0
13 Feb 2023
Trustworthy Social Bias Measurement
Trustworthy Social Bias Measurement
Rishi Bommasani
Percy Liang
27
10
0
20 Dec 2022
Can Current Task-oriented Dialogue Models Automate Real-world Scenarios
  in the Wild?
Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild?
Sang-Woo Lee
Sungdong Kim
Donghyeon Ko
Dong-hyun Ham
Youngki Hong
...
Wangkyo Jung
Kyunghyun Cho
Donghyun Kwak
H. Noh
W. Park
51
1
0
20 Dec 2022
Capabilities for Better ML Engineering
Capabilities for Better ML Engineering
Chenyang Yang
Rachel A. Brower-Sinning
Grace A. Lewis
Christian Kastner
Tongshuang Wu
24
3
0
11 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
27
7
0
08 Nov 2022
No Word Embedding Model Is Perfect: Evaluating the Representation
  Accuracy for Social Bias in the Media
No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media
Maximilian Spliethover
Maximilian Keiff
Henning Wachsmuth
21
4
0
07 Nov 2022
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language
  Classifier Uses Sentiment Information
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information
I. Nejadgholi
Esma Balkir
Kathleen C. Fraser
S. Kiritchenko
37
3
0
19 Oct 2022
The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs
The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs
Angelie Kraft
Ricardo Usbeck
KELM
32
9
0
07 Oct 2022
Controllable Text Generation for Open-Domain Creativity and Fairness
Controllable Text Generation for Open-Domain Creativity and Fairness
Nanyun Peng
23
6
0
24 Sep 2022
Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain
  Chatbots
Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots
Waiman Si
Michael Backes
Jeremy Blackburn
Emiliano De Cristofaro
Gianluca Stringhini
Savvas Zannettou
Yang Zhang
36
58
0
07 Sep 2022
Large scale analysis of gender bias and sexism in song lyrics
Large scale analysis of gender bias and sexism in song lyrics
L. Betti
Carlo Abrate
Andreas Kaltenbrunner
28
18
0
03 Aug 2022
Multilingual HateCheck: Functional Tests for Multilingual Hate Speech
  Detection Models
Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Models
Paul Röttger
Haitham Seelawi
Debora Nozza
Zeerak Talat
Bertie Vidgen
30
65
0
20 Jun 2022
Characteristics of Harmful Text: Towards Rigorous Benchmarking of
  Language Models
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models
Maribeth Rauh
John F. J. Mellor
J. Uesato
Po-Sen Huang
Johannes Welbl
...
Amelia Glaese
G. Irving
Iason Gabriel
William S. Isaac
Lisa Anne Hendricks
25
49
0
16 Jun 2022
Challenges in Applying Explainability Methods to Improve the Fairness of
  NLP Models
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models
Esma Balkir
S. Kiritchenko
I. Nejadgholi
Kathleen C. Fraser
21
36
0
08 Jun 2022
What's in a Caption? Dataset-Specific Linguistic Diversity and Its
  Effect on Visual Description Models and Metrics
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics
David M. Chan
Austin Myers
Sudheendra Vijayanarasimhan
David A. Ross
Bryan Seybold
John F. Canny
26
6
0
12 May 2022
HateCheckHIn: Evaluating Hindi Hate Speech Detection Models
HateCheckHIn: Evaluating Hindi Hate Speech Detection Models
Mithun Das
Punyajoy Saha
Binny Mathew
Animesh Mukherjee
28
15
0
30 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
Sense Embeddings are also Biased--Evaluating Social Biases in Static and
  Contextualised Sense Embeddings
Sense Embeddings are also Biased--Evaluating Social Biases in Static and Contextualised Sense Embeddings
Yi Zhou
Masahiro Kaneko
Danushka Bollegala
29
23
0
14 Mar 2022
Speciesist Language and Nonhuman Animal Bias in English Masked Language
  Models
Speciesist Language and Nonhuman Animal Bias in English Masked Language Models
Masashi Takeshita
Rafal Rzepka
K. Araki
24
6
0
10 Mar 2022
Language technology practitioners as language managers: arbitrating data
  bias and predictive bias in ASR
Language technology practitioners as language managers: arbitrating data bias and predictive bias in ASR
Nina Markl
S. McNulty
22
9
0
25 Feb 2022
Handling Bias in Toxic Speech Detection: A Survey
Handling Bias in Toxic Speech Detection: A Survey
Tanmay Garg
Sarah Masud
Tharun Suresh
Tanmoy Chakraborty
11
91
0
26 Jan 2022
Perceived and Intended Sarcasm Detection with Graph Attention Networks
Perceived and Intended Sarcasm Detection with Graph Attention Networks
Joan Plepi
Lucie Flek
21
23
0
08 Oct 2021
Mitigating Language-Dependent Ethnic Bias in BERT
Mitigating Language-Dependent Ethnic Bias in BERT
Jaimeen Ahn
Alice H. Oh
139
91
0
13 Sep 2021
End-to-End Self-Debiasing Framework for Robust NLU Training
End-to-End Self-Debiasing Framework for Robust NLU Training
Abbas Ghaddar
Philippe Langlais
Mehdi Rezagholizadeh
Ahmad Rashid
UQCV
31
36
0
05 Sep 2021
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot
  Event Classification
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification
Peiyi Wang
Runxin Xu
Tianyu Liu
Damai Dai
Baobao Chang
Zhifang Sui
27
16
0
29 Aug 2021
Context-aware Adversarial Training for Name Regularity Bias in Named
  Entity Recognition
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition
Abbas Ghaddar
Philippe Langlais
Ahmad Rashid
Mehdi Rezagholizadeh
39
42
0
24 Jul 2021
Theoretical foundations and limits of word embeddings: what types of
  meaning can they capture?
Theoretical foundations and limits of word embeddings: what types of meaning can they capture?
Alina Arseniev-Koehler
28
19
0
22 Jul 2021
Anticipating Safety Issues in E2E Conversational AI: Framework and
  Tooling
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling
Emily Dinan
Gavin Abercrombie
A. S. Bergman
Shannon L. Spruit
Dirk Hovy
Y-Lan Boureau
Verena Rieser
37
105
0
07 Jul 2021
Quantifying Social Biases in NLP: A Generalization and Empirical
  Comparison of Extrinsic Fairness Metrics
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics
Paula Czarnowska
Yogarshi Vyas
Kashif Shah
21
104
0
28 Jun 2021
A Survey of Race, Racism, and Anti-Racism in NLP
A Survey of Race, Racism, and Anti-Racism in NLP
Anjalie Field
Su Lin Blodgett
Zeerak Talat
Yulia Tsvetkov
31
122
0
21 Jun 2021
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of
  Conversational Language Models
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
Soumya Barikeri
Anne Lauscher
Ivan Vulić
Goran Glavas
21
178
0
07 Jun 2021
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP:
  The Role of Sample Size and Dimensionality
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality
Adithya V Ganesan
Matthew Matero
Aravind Reddy Ravula
Huy-Hien Vu
H. A. Schwartz
22
35
0
07 May 2021
Reliability Testing for Natural Language Processing Systems
Reliability Testing for Natural Language Processing Systems
Samson Tan
Shafiq R. Joty
K. Baxter
Araz Taeihagh
G. Bennett
Min-Yen Kan
15
38
0
06 May 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine
  Translation: A Survey
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey
Danielle Saunders
AI4CE
19
85
0
14 Apr 2021
Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems
Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems
Daniel Buschek
Lukas Mecke
Florian Lehmann
Hai Dang
13
42
0
01 Apr 2021
HateCheck: Functional Tests for Hate Speech Detection Models
HateCheck: Functional Tests for Hate Speech Detection Models
Paul Röttger
B. Vidgen
Dong Nguyen
Zeerak Talat
Helen Z. Margetts
J. Pierrehumbert
31
259
0
31 Dec 2020
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender
  Bias
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias
Marion Bartl
Malvina Nissim
Albert Gatt
17
122
0
27 Oct 2020
Improving Robustness by Augmenting Training Sentences with
  Predicate-Argument Structures
Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures
N. Moosavi
M. Boer
Prasetya Ajie Utama
Iryna Gurevych
19
13
0
23 Oct 2020
On Robustness and Bias Analysis of BERT-based Relation Extraction
On Robustness and Bias Analysis of BERT-based Relation Extraction
Luoqiu Li
Xiang Chen
Hongbin Ye
Zhen Bi
Shumin Deng
Ningyu Zhang
Huajun Chen
32
18
0
14 Sep 2020
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