Abstract
The authors of this work (“Annotation Curricula to Implicitly Train Non-Expert Annotators” by Ji-Ung Lee, Jan-Christoph Klie, and Iryna Gurevych in Computational Linguistics 48:2 https://doi.org/10.1162/coli_a_00436) discovered an incorrect inequality symbol in section 5.3 (page 360). The paper stated that the differences in the annotation times for the control instances result in a p-value of 0.200 which is smaller than 0.05 (p = 0.200 < 0.05). As 0.200 is of course larger than 0.05, the correct inequality symbol is p = 0.200 > 0.05, which is in line with the conclusion that follows in the text. The paper has been updated accordingly.- Anthology ID:
- 2022.cl-4.23
- Volume:
- Computational Linguistics, Volume 48, Issue 4 - December 2022
- Month:
- December
- Year:
- 2022
- Address:
- Cambridge, MA
- Venue:
- CL
- SIG:
- Publisher:
- MIT Press
- Note:
- Pages:
- 1141–1141
- Language:
- URL:
- https://aclanthology.org/2022.cl-4.23
- DOI:
- 10.1162/coli_x_00469
- Cite (ACL):
- Ji-Ung Lee, Jan-Christoph Klie, and Iryna Gurevych. 2022. Erratum: Annotation Curricula to Implicitly Train Non-Expert Annotators. Computational Linguistics, 48(4):1141–1141.
- Cite (Informal):
- Erratum: Annotation Curricula to Implicitly Train Non-Expert Annotators (Lee et al., CL 2022)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2022.cl-4.23.pdf