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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"

4 / 4 papers shown
Title
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
53
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
18
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
19
4
0
21 Feb 2024
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
26
15
0
25 Jan 2023
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