Erratum: Annotation Curricula to Implicitly Train Non-Expert Annotators

Ji-Ung Lee, Jan-Christoph Klie, Iryna Gurevych


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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/2022.cl-4.23.pdf