Magali Duran
Author directoryAlso published as: Magali Sanches Duran
Other people with similar names: Magali Sanches Duran
Unverified author pages with similar names: Magali Sanches Duran
2026
Clause Linkage in Brazilian Portuguese Narratives: Evidence from Enhanced Dependency Annotation
Letícia Guedes Guimarães | Adriana Pagano | André V. Lopes Coneglian | Magali Duran
Proceedings of the 17th Brazilian Symposium in Information and Human Language Technology
Letícia Guedes Guimarães | Adriana Pagano | André V. Lopes Coneglian | Magali Duran
Proceedings of the 17th Brazilian Symposium in Information and Human Language Technology
This paper explores the potential of Enhanced and Extended Enhanced Universal Dependencies for narrative analysis in Brazilian Portuguese, focusing on how enhanced dependency relations contribute to clause linkage. The study examines narrative sentences annotated in CoNLL-U format and compares basic and enhanced dependency layers. The results show that enhanced dependencies are particularly useful for recovering implicit subject relations in Portuguese and for enriching clause relations through information from prepositions and conjunctions. These enhancements enable a more explicit representation of participant continuity and event relations in narratives, supporting the transition from syntactic dependency analysis to richer semantic annotation.
Do pequeno Asteróide B-612 ao universo: a anotação de O Pequeno Príncipe segundo o modelo Universal Dependencies
Magali Sanches Duran | Lucelene Lopes | Maria das Graças Volpe Nunes | Thiago Alexandre Salgueiro Pardo
Proceedings of the 17th Brazilian Symposium in Information and Human Language Technology
Magali Sanches Duran | Lucelene Lopes | Maria das Graças Volpe Nunes | Thiago Alexandre Salgueiro Pardo
Proceedings of the 17th Brazilian Symposium in Information and Human Language Technology
Relatamos, neste artigo, o processo de anotação do icônico livro O Pequeno Príncipe segundo o modelo internacional Universal Dependencies, como parte de um esforço de expansão dos dados anotados atualmente disponíveis para o português do Brasil. Em especial, apresentamos o protocolo de anotação e as decisões linguísticas envolvidas, além de uma análise quantitativa do córpus.
Towards Uniform Meaning Representation for Brazilian Portuguese: Building a First UMR-Annotated Dataset
Adriana S. Pagano | Magali Duran | Federica Gamba | Daniel Zeman
Proceedings of the 17th Brazilian Symposium in Information and Human Language Technology
Adriana S. Pagano | Magali Duran | Federica Gamba | Daniel Zeman
Proceedings of the 17th Brazilian Symposium in Information and Human Language Technology
This paper presents the first Brazilian Portuguese dataset annotated for Uniform Meaning Representation (UMR). It contains 96 sentences from the Brazilian Portuguese portion of the Parallel Universal Dependencies treebank, parallel to existing UMR annotations in English, Czech, and Italian. The sentences were parsed with PortParser, revised in Arborator-Grew, converted from CoNLL-U into preliminary sentence-level UMR graphs, and manually revised in PENMAN format. The results show that CoNLL-U is a useful starting point, but semantic graph construction requires manual interpretation and language-specific lexical resources. The dataset expands multilingual UMR coverage and supports future Portuguese semantic annotation.