The revision of linguistic annotation in the Universal Dependencies framework: a look at the annotators’ behavior

Magali Sanches Duran, Lucelene Lopes, Thiago Alexandre Salgueiro Pardo


Abstract
This paper presents strategies to revise an automatically annotated corpus according to the Universal Dependencies framework and discusses the learned lessons, mainly regarding the annotators’ behavior. The revision strategies are not relying on examples from any specific language and, because they are languageindependent, can be adopted in any language and corpus annotation initiative.
Anthology ID:
2025.law-1.5
Volume:
Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025)
Month:
July
Year:
2025
Address:
Vienna, Austria
Editors:
Siyao Peng, Ines Rehbein
Venues:
LAW | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
60–69
Language:
URL:
https://preview.aclanthology.org/landing_page/2025.law-1.5/
DOI:
10.18653/v1/2025.law-1.5
Bibkey:
Cite (ACL):
Magali Sanches Duran, Lucelene Lopes, and Thiago Alexandre Salgueiro Pardo. 2025. The revision of linguistic annotation in the Universal Dependencies framework: a look at the annotators’ behavior. In Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025), pages 60–69, Vienna, Austria. Association for Computational Linguistics.
Cite (Informal):
The revision of linguistic annotation in the Universal Dependencies framework: a look at the annotators’ behavior (Duran et al., LAW 2025)
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PDF:
https://preview.aclanthology.org/landing_page/2025.law-1.5.pdf