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Dealing with Disagreements: Looking Beyond the Majority Vote in
  Subjective Annotations

Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations

12 October 2021
Aida Mostafazadeh Davani
Mark Díaz
Vinodkumar Prabhakaran
ArXiv (abs)PDFHTML

Papers citing "Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations"

47 / 147 papers shown
Title
''Fifty Shades of Bias'': Normative Ratings of Gender Bias in GPT
  Generated English Text
''Fifty Shades of Bias'': Normative Ratings of Gender Bias in GPT Generated English Text
Rishav Hada
Agrima Seth
Harshita Diddee
Kalika Bali
97
17
0
26 Oct 2023
"One-Size-Fits-All"? Examining Expectations around What Constitute
  "Fair" or "Good" NLG System Behaviors
"One-Size-Fits-All"? Examining Expectations around What Constitute "Fair" or "Good" NLG System Behaviors
Li Lucy
Su Lin Blodgett
Milad Shokouhi
Hanna M. Wallach
Alexandra Olteanu
91
9
0
23 Oct 2023
ACTOR: Active Learning with Annotator-specific Classification Heads to
  Embrace Human Label Variation
ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation
Xinpeng Wang
Barbara Plank
68
7
0
23 Oct 2023
Unveiling the Multi-Annotation Process: Examining the Influence of
  Annotation Quantity and Instance Difficulty on Model Performance
Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance
Pritam Kadasi
Mayank Singh
57
3
0
23 Oct 2023
Which Prompts Make The Difference? Data Prioritization For Efficient
  Human LLM Evaluation
Which Prompts Make The Difference? Data Prioritization For Efficient Human LLM Evaluation
M. Boubdir
Edward Kim
Beyza Ermis
Marzieh Fadaee
Sara Hooker
ALM
85
19
0
22 Oct 2023
Eliciting Model Steering Interactions from Users via Data and Visual
  Design Probes
Eliciting Model Steering Interactions from Users via Data and Visual Design Probes
Anamaria Crisan
Maddie Shang
Eric Brochu
70
3
0
12 Oct 2023
The Past, Present and Better Future of Feedback Learning in Large
  Language Models for Subjective Human Preferences and Values
The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values
Hannah Rose Kirk
Andrew M. Bean
Bertie Vidgen
Paul Röttger
Scott A. Hale
ALM
113
50
0
11 Oct 2023
The Empty Signifier Problem: Towards Clearer Paradigms for
  Operationalising "Alignment" in Large Language Models
The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising "Alignment" in Large Language Models
Hannah Rose Kirk
Bertie Vidgen
Paul Röttger
Scott A. Hale
112
4
0
03 Oct 2023
It HAS to be Subjective: Human Annotator Simulation via Zero-shot
  Density Estimation
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation
Wen Wu
Jiajun He
Chuxu Zhang
P. Woodland
55
1
0
30 Sep 2023
PopBERT. Detecting populism and its host ideologies in the German
  Bundestag
PopBERT. Detecting populism and its host ideologies in the German Bundestag
Lukas Erhard
Sara Hanke
Uwe Remer
A. Falenska
R. Heiberger
63
2
0
22 Sep 2023
On the Challenges of Building Datasets for Hate Speech Detection
On the Challenges of Building Datasets for Hate Speech Detection
Vitthal Bhandari
67
1
0
06 Sep 2023
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights,
  and Duties
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties
Taylor Sorensen
Liwei Jiang
Jena D. Hwang
Sydney Levine
Valentina Pyatkin
...
Kavel Rao
Chandra Bhagavatula
Maarten Sap
J. Tasioulas
Yejin Choi
SLR
119
60
0
02 Sep 2023
BatchPrompt: Accomplish more with less
BatchPrompt: Accomplish more with less
Jianzhe Lin
Maurice Diesendruck
Liang Du
Robin Abraham
LRM
96
10
0
01 Sep 2023
Exploring Cross-Cultural Differences in English Hate Speech Annotations:
  From Dataset Construction to Analysis
Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis
Nayeon Lee
Chani Jung
Jun-Hee Myung
Jiho Jin
Jose Camacho-Collados
Juho Kim
Alice Oh
98
23
0
31 Aug 2023
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Jeff Z. Pan
Simon Razniewski
Jan-Christoph Kalo
Sneha Singhania
Jiaoyan Chen
...
Gerard de Melo
A. Bonifati
Edlira Vakaj
M. Dragoni
D. Graux
KELM
91
78
0
11 Aug 2023
Designing Closed-Loop Models for Task Allocation
Designing Closed-Loop Models for Task Allocation
Vijay Keswani
L. E. Celis
K. Kenthapadi
Matthew Lease
59
0
0
31 May 2023
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness
Candice Schumann
Gbolahan O. Olanubi
Auriel Wright
Ellis P. Monk
Courtney Heldreth
Susanna Ricco
110
24
0
16 May 2023
When the Majority is Wrong: Modeling Annotator Disagreement for
  Subjective Tasks
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks
Eve Fleisig
Rediet Abebe
Dan Klein
131
49
0
11 May 2023
iLab at SemEval-2023 Task 11 Le-Wi-Di: Modelling Disagreement or
  Modelling Perspectives?
iLab at SemEval-2023 Task 11 Le-Wi-Di: Modelling Disagreement or Modelling Perspectives?
Nikolas Vitsakis
Amit Parekh
Tanvi Dinkar
Gavin Abercrombie
Ioannis Konstas
Verena Rieser
98
10
0
10 May 2023
SemEval-2023 Task 10: Explainable Detection of Online Sexism
SemEval-2023 Task 10: Explainable Detection of Online Sexism
Hannah Rose Kirk
Wenjie Yin
Bertie Vidgen
Paul Röttger
81
122
0
07 Mar 2023
Everyone's Voice Matters: Quantifying Annotation Disagreement Using
  Demographic Information
Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information
Ruyuan Wan
Jaehyung Kim
Dongyeop Kang
55
38
0
12 Jan 2023
AnnoBERT: Effectively Representing Multiple Annotators' Label Choices to
  Improve Hate Speech Detection
AnnoBERT: Effectively Representing Multiple Annotators' Label Choices to Improve Hate Speech Detection
Wenjie Yin
Vibhor Agarwal
Aiqi Jiang
A. Zubiaga
Nishanth R. Sastry
91
15
0
20 Dec 2022
Human-Guided Fair Classification for Natural Language Processing
Human-Guided Fair Classification for Natural Language Processing
Florian E.Dorner
Momchil Peychev
Nikola Konstantinov
Naman Goel
Elliott Ash
Martin Vechev
FaML
71
4
0
20 Dec 2022
SeedBERT: Recovering Annotator Rating Distributions from an Aggregated
  Label
SeedBERT: Recovering Annotator Rating Distributions from an Aggregated Label
A. Sampath
Victoria Lin
Louis-Philippe Morency
29
2
0
23 Nov 2022
"It's Not Just Hate'': A Multi-Dimensional Perspective on Detecting
  Harmful Speech Online
"It's Not Just Hate'': A Multi-Dimensional Perspective on Detecting Harmful Speech Online
Federico Bianchi
S. A. Hills
Patrícia G. C. Rossini
Dirk Hovy
Rebekah Tromble
N. Tintarev
95
15
0
28 Oct 2022
Unifying Data Perspectivism and Personalization: An Application to
  Social Norms
Unifying Data Perspectivism and Personalization: An Application to Social Norms
Joan Plepi
Béla Neuendorf
Lucie Flek
Charles F Welch
117
21
0
26 Oct 2022
Trustworthy Human Computation: A Survey
Trustworthy Human Computation: A Survey
H. Kashima
S. Oyama
Hiromi Arai
Junichiro Mori
82
1
0
22 Oct 2022
Noise Audits Improve Moral Foundation Classification
Noise Audits Improve Moral Foundation Classification
Negar Mokhberian
F. R. Hopp
Bahareh Harandizadeh
Fred Morstatter
Kristina Lerman
NoLa
82
7
0
13 Oct 2022
Explainable Abuse Detection as Intent Classification and Slot Filling
Explainable Abuse Detection as Intent Classification and Slot Filling
Agostina Calabrese
Bjorn Ross
Mirella Lapata
93
11
0
06 Oct 2022
Investigating Reasons for Disagreement in Natural Language Inference
Investigating Reasons for Disagreement in Natural Language Inference
Nan-Jiang Jiang
M. Marneffe
72
27
0
07 Sep 2022
A Holistic Approach to Undesired Content Detection in the Real World
A Holistic Approach to Undesired Content Detection in the Real World
Todor Markov
Chong Zhang
Sandhini Agarwal
Tyna Eloundou
Teddy Lee
Steven Adler
Angela Jiang
L. Weng
125
237
0
05 Aug 2022
More Data Can Lead Us Astray: Active Data Acquisition in the Presence of
  Label Bias
More Data Can Lead Us Astray: Active Data Acquisition in the Presence of Label Bias
Yunyi Li
Maria De-Arteaga
M. Saar-Tsechansky
FaML
83
3
0
15 Jul 2022
Is one annotation enough? A data-centric image classification benchmark
  for noisy and ambiguous label estimation
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation
Lars Schmarje
Vasco Grossmann
Claudius Zelenka
S. Dippel
R. Kiko
...
M. Pastell
J. Stracke
A. Valros
N. Volkmann
Reinahrd Koch
115
37
0
13 Jul 2022
Empathic Conversations: A Multi-level Dataset of Contextualized
  Conversations
Empathic Conversations: A Multi-level Dataset of Contextualized Conversations
Damilola Omitaomu
Shabnam Tafreshi
Tingting Liu
Sven Buechel
Chris Callison-Burch
J. Eichstaedt
Lyle Ungar
João Sedoc
104
50
0
25 May 2022
Evaluation Gaps in Machine Learning Practice
Evaluation Gaps in Machine Learning Practice
Ben Hutchinson
Negar Rostamzadeh
Christina Greer
Katherine A. Heller
Vinodkumar Prabhakaran
ELM
98
63
0
11 May 2022
Justice in Misinformation Detection Systems: An Analysis of Algorithms,
  Stakeholders, and Potential Harms
Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms
Terrence Neumann
Maria De-Arteaga
S. Fazelpour
97
26
0
28 Apr 2022
Challenges and Strategies in Cross-Cultural NLP
Challenges and Strategies in Cross-Cultural NLP
Daniel Hershcovich
Stella Frank
Heather Lent
Miryam de Lhoneux
Mostafa Abdou
...
Ruixiang Cui
Constanza Fierro
Katerina Margatina
Phillip Rust
Anders Søgaard
130
182
0
18 Mar 2022
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and
  Implicit Hate Speech Detection
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection
Thomas Hartvigsen
Saadia Gabriel
Hamid Palangi
Maarten Sap
Dipankar Ray
Ece Kamar
92
391
0
17 Mar 2022
The Ghost in the Machine has an American accent: value conflict in GPT-3
The Ghost in the Machine has an American accent: value conflict in GPT-3
Rebecca Lynn Johnson
Giada Pistilli
Natalia Menédez-González
Leslye Denisse Dias Duran
Enrico Panai
Julija Kalpokienė
D. Bertulfo
104
90
0
15 Mar 2022
The worst of both worlds: A comparative analysis of errors in learning
  from data in psychology and machine learning
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning
Jessica Hullman
Sayash Kapoor
Priyanka Nanayakkara
Andrew Gelman
Arvind Narayanan
147
39
0
12 Mar 2022
Toward More Meaningful Resources for Lower-resourced Languages
Toward More Meaningful Resources for Lower-resourced Languages
Constantine Lignos
Nolan Holley
Chester Palen-Michel
Jonne Saleva
56
20
0
24 Feb 2022
Jury Learning: Integrating Dissenting Voices into Machine Learning
  Models
Jury Learning: Integrating Dissenting Voices into Machine Learning Models
Mitchell L. Gordon
Michelle S. Lam
J. Park
Kayur Patel
Jeffrey T. Hancock
Tatsunori Hashimoto
Michael S. Bernstein
87
154
0
07 Feb 2022
NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual
  Sentiment Analysis
NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis
Shamsuddeen Hassan Muhammad
David Ifeoluwa Adelani
Sebastian Ruder
Ibrahim Said Ahmad
Idris Abdulmumin
...
Chris C. Emezue
Saheed Abdul
Anuoluwapo Aremu
Alipio Jeorge
P. Brazdil
83
100
0
20 Jan 2022
Ground-Truth, Whose Truth? -- Examining the Challenges with Annotating
  Toxic Text Datasets
Ground-Truth, Whose Truth? -- Examining the Challenges with Annotating Toxic Text Datasets
Kofi Arhin
Ioana Baldini
Dennis L. Wei
Karthikeyan N. Ramamurthy
Moninder Singh
61
20
0
07 Dec 2021
On Releasing Annotator-Level Labels and Information in Datasets
On Releasing Annotator-Level Labels and Information in Datasets
Vinodkumar Prabhakaran
Aida Mostafazadeh Davani
Mark Díaz
109
150
0
12 Oct 2021
Diversity in Sociotechnical Machine Learning Systems
Diversity in Sociotechnical Machine Learning Systems
S. Fazelpour
Maria De-Arteaga
88
38
0
19 Jul 2021
Leveraging Expert Consistency to Improve Algorithmic Decision Support
Leveraging Expert Consistency to Improve Algorithmic Decision Support
Maria De-Arteaga
Vincent Jeanselme
A. Dubrawski
Alexandra Chouldechova
72
22
0
24 Jan 2021
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