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On Releasing Annotator-Level Labels and Information in Datasets

On Releasing Annotator-Level Labels and Information in Datasets

12 October 2021
Vinodkumar Prabhakaran
Aida Mostafazadeh Davani
Mark Díaz
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Papers citing "On Releasing Annotator-Level Labels and Information in Datasets"

24 / 24 papers shown
Title
AI Alignment at Your Discretion
AI Alignment at Your Discretion
Maarten Buyl
Hadi Khalaf
C. M. Verdun
Lucas Monteiro Paes
Caio Vieira Machado
Flavio du Pin Calmon
42
0
0
10 Feb 2025
Correcting Annotator Bias in Training Data: Population-Aligned Instance Replication (PAIR)
Correcting Annotator Bias in Training Data: Population-Aligned Instance Replication (PAIR)
Stephanie Eckman
Bolei Ma
Christoph Kern
Rob Chew
Barbara Plank
Frauke Kreuter
41
0
0
12 Jan 2025
Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors
Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors
Georgios Chochlakis
Alexandros Potamianos
Kristina Lerman
Shrikanth Narayanan
30
0
0
17 Oct 2024
Human and LLM Biases in Hate Speech Annotations: A Socio-Demographic Analysis of Annotators and Targets
Human and LLM Biases in Hate Speech Annotations: A Socio-Demographic Analysis of Annotators and Targets
Tommaso Giorgi
Lorenzo Cima
T. Fagni
M. Avvenuti
S. Cresci
40
9
0
10 Oct 2024
Bayesian WeakS-to-Strong from Text Classification to Generation
Bayesian WeakS-to-Strong from Text Classification to Generation
Ziyun Cui
Ziyang Zhang
Wen Wu
Wen Wu
Chao Zhang
31
1
0
24 May 2024
Social Choice Should Guide AI Alignment in Dealing with Diverse Human
  Feedback
Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback
Vincent Conitzer
Rachel Freedman
J. Heitzig
Wesley H. Holliday
Bob M. Jacobs
...
Eric Pacuit
Stuart Russell
Hailey Schoelkopf
Emanuel Tewolde
W. Zwicker
33
28
0
16 Apr 2024
Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot
  Annotator Adaptation
Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation
Preni Golazizian
Ali Omrani
Alireza S. Ziabari
Morteza Dehghani
18
1
0
21 Feb 2024
GRASP: A Disagreement Analysis Framework to Assess Group Associations in
  Perspectives
GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives
Vinodkumar Prabhakaran
Christopher Homan
Lora Aroyo
Aida Mostafazadeh Davani
Alicia Parrish
Alex S. Taylor
Mark Díaz
Ding Wang
Greg Serapio-García
34
9
0
09 Nov 2023
Semantic and Expressive Variation in Image Captions Across Languages
Semantic and Expressive Variation in Image Captions Across Languages
Andre Ye
Sebastin Santy
Jena D. Hwang
Amy X. Zhang
Ranjay Krishna
VLM
48
3
0
22 Oct 2023
Sensitivity, Performance, Robustness: Deconstructing the Effect of
  Sociodemographic Prompting
Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting
Tilman Beck
Hendrik Schuff
Anne Lauscher
Iryna Gurevych
35
32
0
13 Sep 2023
The Ecological Fallacy in Annotation: Modelling Human Label Variation
  goes beyond Sociodemographics
The Ecological Fallacy in Annotation: Modelling Human Label Variation goes beyond Sociodemographics
Matthias Orlikowski
Paul Röttger
Philipp Cimiano
Italy
26
26
0
20 Jun 2023
Intersectionality in Conversational AI Safety: How Bayesian Multilevel
  Models Help Understand Diverse Perceptions of Safety
Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety
Christopher Homan
Greg Serapio-García
Lora Aroyo
Mark Díaz
Alicia Parrish
Vinodkumar Prabhakaran
Alex S. Taylor
Ding Wang
22
9
0
20 Jun 2023
What's the Meaning of Superhuman Performance in Today's NLU?
What's the Meaning of Superhuman Performance in Today's NLU?
Simone Tedeschi
Johan Bos
T. Declerck
Jan Hajic
Daniel Hershcovich
...
Simon Krek
Steven Schockaert
Rico Sennrich
Ekaterina Shutova
Roberto Navigli
ELM
LM&MA
VLM
ReLM
LRM
34
26
0
15 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
21
42
0
11 May 2023
Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing
  the Biases Introduced by Task Design
Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design
Valentina Pyatkin
Frances Yung
Merel C. J. Scholman
Reut Tsarfaty
Ido Dagan
Vera Demberg
19
12
0
03 Apr 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
10
117
0
07 Mar 2023
The 'Problem' of Human Label Variation: On Ground Truth in Data,
  Modeling and Evaluation
The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation
Barbara Plank
30
96
0
04 Nov 2022
Stop Measuring Calibration When Humans Disagree
Stop Measuring Calibration When Humans Disagree
Joris Baan
Wilker Aziz
Barbara Plank
Raquel Fernández
24
53
0
28 Oct 2022
A Keyword Based Approach to Understanding the Overpenalization of
  Marginalized Groups by English Marginal Abuse Models on Twitter
A Keyword Based Approach to Understanding the Overpenalization of Marginalized Groups by English Marginal Abuse Models on Twitter
Kyra Yee
Alice Schoenauer Sebag
Olivia Redfield
Emily Sheng
Matthias Eck
Luca Belli
20
2
0
07 Oct 2022
Eliciting and Learning with Soft Labels from Every Annotator
Eliciting and Learning with Soft Labels from Every Annotator
K. M. Collins
Umang Bhatt
Adrian Weller
11
44
0
02 Jul 2022
From Stance to Concern: Adaptation of Propositional Analysis to New
  Tasks and Domains
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains
Brodie Mather
Bonnie J. Dorr
Adam Dalton
William de Beaumont
Owen Rambow
Sonja M. Schmer-Galunder
22
8
0
20 Mar 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
41
162
0
18 Mar 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
19
146
0
07 Feb 2022
Annotators with Attitudes: How Annotator Beliefs And Identities Bias
  Toxic Language Detection
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
Maarten Sap
Swabha Swayamdipta
Laura Vianna
Xuhui Zhou
Yejin Choi
Noah A. Smith
29
266
0
15 Nov 2021
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