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:
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/2021.icnlsp-1.1.pdf
- Code
- theonlyandreas/end-to-end-crowdsourcing