UlyssesNER-Br: a corpus of brazilian legislative documents for named entity recognition (2022)
- Authors:
- Albuquerque, Hidelberg Oliveira
- Costa, Rosimeire
- Silvestre, Gabriel Dalforno
- Souza, Ellen Polliana Ramos
- Silva, Nádia Felix Felipe da
- Vitório, Douglas
- Moriyama, Gyovana
- Martins, Lucas
- Soezima, Luiza
- Nunes, Augusto
- Siqueira, Felipe Alves
- Tarrega, João Pedro Mantovani
- Beinotti, João Vitor Pataca
- Dias, Márcio de Souza
- Silva, Matheus
- Gardini, Miguel
- Silva, Vinicius Adolfo Pereira da
- Carvalho, André Carlos Ponce de Leon Ferreira de
- Oliveira, Adriano Lorena Inacio de
- Albuquerque, Hidelberg Oliveira
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; SILVESTRE, GABRIEL DALFORNO - ICMC ; MORIYAMA, GYOVANA MAYARA - ICMC ; MARTINS, LUCAS FERNANDES - EESC E ICMC ; SOEZIMA, LUIZA BARROS REIS - IME ; NUNES, AUGUSTO SOUSA - ICMC ; TARREGA, JOÃO PEDRO MANTOVANI - ICMC ; BEINOTTI, JOAO VITOR PATACA - ICMC ; GARDINI, MIGUEL DE MATTOS - ICMC ; SILVA, VINICIUS ADOLFO PEREIRA DA - EESC ; SOUZA, ELLEN POLLIANA RAMOS - ICMC ; SILVA, NADIA FELIX FELIPE DA - ICMC ; SIQUEIRA, FELIPE ALVES - ICMC
- Unidades: ICMC; EESC E ICMC; IME; EESC
- DOI: 10.1007/978-3-030-98305-5_1
- Subjects: RECONHECIMENTO DE TEXTO; PROCESSAMENTO DE LINGUAGEM NATURAL; RECUPERAÇÃO DA INFORMAÇÃO; TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS; CORPUS
- Keywords: Annotation schema; Named Entity Recognition; Legal information retrieval
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Artificial Intelligence
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 13208, p. 3-14, 2022
- Conference titles: International Conference on Computational Processing of the Portuguese Language - PROPOR
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ALBUQUERQUE, Hidelberg Oliveira et al. UlyssesNER-Br: a corpus of brazilian legislative documents for named entity recognition. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-98305-5_1. Acesso em: 27 dez. 2025. , 2022 -
APA
Albuquerque, H. O., Costa, R., Silvestre, G. D., Souza, E. P. R., Silva, N. F. F. da, Vitório, D., et al. (2022). UlyssesNER-Br: a corpus of brazilian legislative documents for named entity recognition. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-98305-5_1 -
NLM
Albuquerque HO, Costa R, Silvestre GD, Souza EPR, Silva NFF da, Vitório D, Moriyama G, Martins L, Soezima L, Nunes A, Siqueira FA, Tarrega JPM, Beinotti JVP, Dias M de S, Silva M, Gardini M, Silva VAP da, Carvalho ACP de LF de, Oliveira ALI de. UlyssesNER-Br: a corpus of brazilian legislative documents for named entity recognition [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13208 3-14.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_1 -
Vancouver
Albuquerque HO, Costa R, Silvestre GD, Souza EPR, Silva NFF da, Vitório D, Moriyama G, Martins L, Soezima L, Nunes A, Siqueira FA, Tarrega JPM, Beinotti JVP, Dias M de S, Silva M, Gardini M, Silva VAP da, Carvalho ACP de LF de, Oliveira ALI de. UlyssesNER-Br: a corpus of brazilian legislative documents for named entity recognition [Internet]. Lecture Notes in Artificial Intelligence. 2022 ; 13208 3-14.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1007/978-3-030-98305-5_1 - Expanding UlyssesNER-Br named entity recognition corpus with informal user-generated text
- Assessing the impact of stemming algorithms applied to brazilian legislative documents retrieval
- Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies
- Ulysses-RFSQ: a novel method to improve legal information retrieval based on relevance feedback
- An information retrieval pipeline for legislative documents from the brazilian Chamber of Deputies
- Ulysses Tesemõ: a new large corpus for Brazilian legal and governmental domain
- On the assessment of deep learning models for named entity recognition of brazilian legal documents
- Evaluating topic models in portuguese political comments about bills from Brazil's chamber of deputies
- Natural language processing application in legislative activity: a case study of similar amendments in the brazilian senate
- Named entity recognition: a survey for the portuguese language
Informações sobre o DOI: 10.1007/978-3-030-98305-5_1 (Fonte: oaDOI API)
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