Segmenting Brazilian legislative text using weak supervision and active learning.
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| Title: | Segmenting Brazilian legislative text using weak supervision and active learning. |
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| Authors: | Siqueira, Felipe A.1, felipe.siqueira@usp.br, Pressato, Diany1, diany_press@usp.br, Pereira, Fabíola S. F.1,2, fabiola.pereira@ufu.br, da Silva, Nádia F. F.1,3, nadia.felix@ufg.br, Souza, Ellen1,4, ellen.ramos@ufpe.br, Dias, Márcio S.1,5, marciodias@ufcat.edu.br, de Carvalho, André C. P. L. F.1, andre@icmc.usp.br |
| Source: | Artificial Intelligence & Law; Mar2026, Vol. 34 Issue 1, p1-82, 82p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 192504939 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Segmenting Brazilian legislative text using weak supervision and active learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Siqueira%2C+Felipe+A%2E%22">Siqueira, Felipe A.</searchLink><relatesTo>1</relatesTo>, <i>felipe.siqueira@usp.br</i><br /><searchLink fieldCode="AU" term="%22Pressato%2C+Diany%22">Pressato, Diany</searchLink><relatesTo>1</relatesTo>, <i>diany_press@usp.br</i><br /><searchLink fieldCode="AU" term="%22Pereira%2C+Fabíola+S%2E+F%2E%22">Pereira, Fabíola S. F.</searchLink><relatesTo>1,2</relatesTo>, <i>fabiola.pereira@ufu.br</i><br /><searchLink fieldCode="AU" term="%22da+Silva%2C+Nádia+F%2E+F%2E%22">da Silva, Nádia F. F.</searchLink><relatesTo>1,3</relatesTo>, <i>nadia.felix@ufg.br</i><br /><searchLink fieldCode="AU" term="%22Souza%2C+Ellen%22">Souza, Ellen</searchLink><relatesTo>1,4</relatesTo>, <i>ellen.ramos@ufpe.br</i><br /><searchLink fieldCode="AU" term="%22Dias%2C+Márcio+S%2E%22">Dias, Márcio S.</searchLink><relatesTo>1,5</relatesTo>, <i>marciodias@ufcat.edu.br</i><br /><searchLink fieldCode="AU" term="%22de+Carvalho%2C+André+C%2E+P%2E+L%2E+F%2E%22">de Carvalho, André C. P. L. F.</searchLink><relatesTo>1</relatesTo>, <i>andre@icmc.usp.br</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+%26+Law%22">Artificial Intelligence & Law</searchLink>; Mar2026, Vol. 34 Issue 1, p1-82, 82p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192504939 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10506-024-09419-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 82 StartPage: 1 Titles: – TitleFull: Segmenting Brazilian legislative text using weak supervision and active learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Siqueira, Felipe A. – PersonEntity: Name: NameFull: Pressato, Diany – PersonEntity: Name: NameFull: Pereira, Fabíola S. F. – PersonEntity: Name: NameFull: da Silva, Nádia F. F. – PersonEntity: Name: NameFull: Souza, Ellen – PersonEntity: Name: NameFull: Dias, Márcio S. – PersonEntity: Name: NameFull: de Carvalho, André C. P. L. F. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09248463 Numbering: – Type: volume Value: 34 – Type: issue Value: 1 Titles: – TitleFull: Artificial Intelligence & Law Type: main |
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