An annotation manual as a Natural Language Processing resource: the Universal Dependencies model in Portuguese

• Autor(a) principal: Duran, Magali
• Data de Publicação: 2022
• Outros Autores: Nunes, Maria das Graças Volpe, Lopes, Lucelene, Pardo, Thiago Alexandre Salgueiro
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Domínios de Lingu@gem
• Texto Completo: https://seer.ufu.br/index.php/dominiosdelinguagem/article/view/63632
• topic: Corpora anotados; Manual de anotação; Universal Dependencies; Árvores de dependência; Português brasileiro; Annotated corpora; Annotation manual; Universal Dependencies; Dependency trees; Brazilian Portuguese

With the advances of the Natural Language Processing area, corpora are resources that have had a prominent place. More than subsidizing linguistic studies, they constitute the basis for training Machine Learning models and developing cutting-edge computational applications. In particular, there is a great need for annotated corpora, but their production requires another essential resource, the annotation manual, which instantiates the annotation model of interest for the language in question and outlines the annotation decisions that should be adopted. In this paper, we explore issues related to the development of manuals for the annotation of Brazilian Portuguese corpora according to the Universal Dependencies model, widely adopted in the field. We discuss the evolution of NLP and the use of corpora, the fundamental issues, resources and tools related to syntactic representation, the Universal Dependencies model, and the main decisions made in the instantiation of UD guidelines in Brazilian Portuguese. For practical and didactic reasons, we divided the manual into two parts: the PoS Tag Annotation Manual (morphosyntactic annotation) and the Dependency Relations Annotation Manual. Both resulted from the process reported in this paper and are available for free access on the POeTiSA project's Web site.