The revision of linguistic annotation in the Universal Dependencies framework: a look at the annotators’ behavior
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.
Authors
- Lucelene Lopes (ORCID: https://orcid.org/0000-0003-0314-140X)
- Magali Sanches Duran (ORCID: https://orcid.org/0000-0002-3843-4600)
- Thiago Alexandre Salgueiro Pardo (ORCID: https://orcid.org/0000-0003-2111-1319)
Institutions
- Laboratório Interinstitucional de e-Astronomia (BR)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18653/v1/2025.law-1.5
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- International Business Machines Corporation
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- Ministério da Ciência, Tecnologia e Inovação
- Universidade de São Paulo