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Agreeing to Disagree: Annotating Offensive Language Datasets with
  Annotators' Disagreement

Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement

28 September 2021
Elisa Leonardelli
Stefano Menini
Alessio Palmero Aprosio
Marco Guerini
Sara Tonelli
ArXivPDFHTML

Papers citing "Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement"

14 / 14 papers shown
Title
Unveiling the Capabilities of Large Language Models in Detecting Offensive Language with Annotation Disagreement
Unveiling the Capabilities of Large Language Models in Detecting Offensive Language with Annotation Disagreement
Junyu Lu
Kai Ma
Kaichun Wang
Kelaiti Xiao
Roy Ka-Wei Lee
Bo Xu
Liang Yang
Hongfei Lin
49
0
0
10 Feb 2025
Training and Evaluating with Human Label Variation: An Empirical Study
Training and Evaluating with Human Label Variation: An Empirical Study
K. K.
Meladel Mistica
Timothy Baldwin
Jey Han Lau
65
0
0
03 Feb 2025
AUTALIC: A Dataset for Anti-AUTistic Ableist Language In Context
AUTALIC: A Dataset for Anti-AUTistic Ableist Language In Context
Naba Rizvi
Harper Strickland
Daniel Gitelman
Tristan Cooper
Alexis Morales-Flores
...
Haaset Owens
Saleha Ahmedi
Isha Khirwadkar
Imani Munyaka
Nedjma Ousidhoum
32
0
0
21 Oct 2024
Infrastructure Ombudsman: Mining Future Failure Concerns from Structural
  Disaster Response
Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response
Towhid Chowdhury
Soumyajit Datta
Naveen Sharma
Ashiqur R. KhudaBukhsh
AI4CE
34
4
0
21 Feb 2024
Modeling subjectivity (by Mimicking Annotator Annotation) in toxic
  comment identification across diverse communities
Modeling subjectivity (by Mimicking Annotator Annotation) in toxic comment identification across diverse communities
Senjuti Dutta
Sid Mittal
Sherol Chen
Deepak Ramachandran
Ravi Rajakumar
Ian D Kivlichan
Sunny Mak
Alena Butryna
Praveen Paritosh University of Tennessee
37
5
0
01 Nov 2023
Examining Temporal Bias in Abusive Language Detection
Examining Temporal Bias in Abusive Language Detection
Mali Jin
Yida Mu
Diana Maynard
Kalina Bontcheva
32
5
0
25 Sep 2023
Lon-ea at SemEval-2023 Task 11: A Comparison of Activation Functions for
  Soft and Hard Label Prediction
Lon-ea at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction
Peyman Hosseini
Mehran Hosseini
Sana Al-Azzawi
Marcus Liwicki
Ignacio Castro
Matthew Purver
14
1
0
04 Mar 2023
Consistency is Key: Disentangling Label Variation in Natural Language
  Processing with Intra-Annotator Agreement
Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement
Gavin Abercrombie
Verena Rieser
Dirk Hovy
43
16
0
25 Jan 2023
CoRAL: a Context-aware Croatian Abusive Language Dataset
CoRAL: a Context-aware Croatian Abusive Language Dataset
Ravi Shekhar
Mladen Karan
Matthew Purver
36
5
0
11 Nov 2022
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
97
0
04 Nov 2022
The State of Profanity Obfuscation in Natural Language Processing
The State of Profanity Obfuscation in Natural Language Processing
Debora Nozza
Dirk Hovy
34
7
0
14 Oct 2022
Understanding Interpersonal Conflict Types and their Impact on
  Perception Classification
Understanding Interpersonal Conflict Types and their Impact on Perception Classification
Charles F Welch
Joan Plepi
Béla Neuendorf
Lucie Flek
17
6
0
18 Aug 2022
"Stop Asian Hate!" : Refining Detection of Anti-Asian Hate Speech During
  the COVID-19 Pandemic
"Stop Asian Hate!" : Refining Detection of Anti-Asian Hate Speech During the COVID-19 Pandemic
H. Nghiem
Fred Morstatter
25
8
0
04 Dec 2021
Automatic Evaluation and Moderation of Open-domain Dialogue Systems
Automatic Evaluation and Moderation of Open-domain Dialogue Systems
Chen Zhang
João Sedoc
L. F. D’Haro
Rafael E. Banchs
Alexander I. Rudnicky
20
36
0
03 Nov 2021
1