Fine-grained legal entity annotation: A case study on the Brazilian Supreme Court

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dc.contributor.authorIVAR ALBERTO GLASHERSTER MARTINS LANGE HARTMANN
dc.coverage.cidadeAmsterdãpt_BR
dc.coverage.paisPaíses Baixospt_BR
dc.date.accessioned2022-12-12T01:40:49Z
dc.date.available2022-12-12T01:40:49Z
dc.date.issued2022
dc.description.notesTexto completopt_BR
dc.description.otherThe exploration of legal documents in the Brazilian Judiciary context lacks reliable annotated corpus to support the development of new Natural Language Process (NLP) applications. Therefore, this paper presents a step toward exploring legal decisions with Named Entity Recognition (NER) in the Brazilian Supreme Court (STF) context. We aim to present a case study on the fine-grained annotation task of legal decisions, performed by law students as annotators where two levels of nested legal entities were annotated. Nested entities mapped in a preliminary study composed of four coarser legal named entities and twenty-four nested ones (fine-grained). The final result is a corpus of 594 decisions published by the STF annotated by the 76 law students, those with the highest average inter-annotator agreement score. We also present two baselines for NER based on Conditional Random Fields (CRFs) and Bidirectional Long-Short Term Memory Networks (BiLSTMs). This corpus is the first of its kind, the most extensive corpus known in Portuguese dedicated for legal named entity recognition, open and available to better support further research studies in a similar context.pt_BR
dc.description.urihttps://www.sciencedirect.com/science/article/pii/S0306457321002727?via%3Dihubpt_BR
dc.format.extentp. 1-21pt_BR
dc.format.mediumDigitalpt_BR
dc.identifier.doihttps://doi.org/10.1016/j.ipm.2021.102794pt_BR
dc.identifier.issn0306-4573pt_BR
dc.identifier.issn1873-5371pt_BR
dc.identifier.issue1pt_BR
dc.identifier.urihttps://repositorio.insper.edu.br/handle/11224/4903
dc.identifier.volume59pt_BR
dc.language.isoInglêspt_BR
dc.publisherElsevierpt_BR
dc.relation.ispartofInformation Processing & Managementpt_BR
dc.rights.licenseO INSPER E ESTE REPOSITÓRIO NÃO DETÊM OS DIREITOS DE USO E REPRODUÇÃO DOS CONTEÚDOS AQUI REGISTRADOS. É RESPONSABILIDADE DO USUÁRIO VERIFICAR OS USOS PERMITIDOS NA FONTE ORIGINAL, RESPEITANDO-SE OS DIREITOS DE AUTOR OU EDITOR.pt_BR
dc.subject.keywordsNamed Entity Recognitionpt_BR
dc.subject.keywordsLegal documentspt_BR
dc.subject.keywordsManual annotation taskpt_BR
dc.subject.keywordsAnnotated corpus in Portuguesept_BR
dc.subject.keywordsBrazilian Supreme Courtpt_BR
dc.titleFine-grained legal entity annotation: A case study on the Brazilian Supreme Courtpt_BR
dc.typejournal article
dspace.entity.typePublication
local.identifier.sourceUrihttps://www.sciencedirect.com/science/article/pii/S0306457321002727
local.typeArtigo Científicopt_BR
relation.isAuthorOfPublication221c37b6-13b7-4ac8-a131-6abd42eb8ef7
relation.isAuthorOfPublication.latestForDiscovery221c37b6-13b7-4ac8-a131-6abd42eb8ef7

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