End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis

Gerhard Hagerer, David Szabo, Andreas Koch, Maria Luisa Ripoll Dominguez, Christian Widmer, Maximilian Wich, Hannah Danner, Georg Groh


Anthology ID:
2021.icnlsp-1.1
Volume:
Proceedings of the 4th International Conference on Natural Language and Speech Processing (ICNLSP 2021)
Month:
12--13 November
Year:
2021
Address:
Trento, Italy
Editors:
Mourad Abbas, Abed Alhakim Freihat
Venue:
ICNLSP
SIG:
SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–10
Language:
URL:
https://aclanthology.org/2021.icnlsp-1.1
DOI:
Bibkey:
Cite (ACL):
Gerhard Hagerer, David Szabo, Andreas Koch, Maria Luisa Ripoll Dominguez, Christian Widmer, Maximilian Wich, Hannah Danner, and Georg Groh. 2021. End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis. In Proceedings of the 4th International Conference on Natural Language and Speech Processing (ICNLSP 2021), pages 1–10, Trento, Italy. Association for Computational Linguistics.
Cite (Informal):
End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis (Hagerer et al., ICNLSP 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.icnlsp-1.1.pdf
Code
 theonlyandreas/end-to-end-crowdsourcing