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Artigo de periodico
Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies (2024)
Vitório, Douglas ; Souza, Ellen Polliana Ramos ; Martins, Lucas Fernandes; Silva, Nádia Felix Felipe da ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Oliveira, Adriano Lorena Inacio de ; Andrade, Francisco Edmundo de
Source: Language Resources and Evaluation. Unidades: ICMC, EESC E ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, CORPUS, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VITÓRIO, Douglas et al. Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies. Language Resources and Evaluation, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10579-024-09767-3. Acesso em: 02 nov. 2024.
APA
Vitório, D., Souza, E. P. R., Martins, L. F., Silva, N. F. F. da, Carvalho, A. C. P. de L. F. de, Oliveira, A. L. I. de, & Andrade, F. E. de. (2024). Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies. Language Resources and Evaluation. doi:10.1007/s10579-024-09767-3
NLM
Vitório D, Souza EPR, Martins LF, Silva NFF da, Carvalho ACP de LF de, Oliveira ALI de, Andrade FE de. Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies [Internet]. Language Resources and Evaluation. 2024 ;[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/s10579-024-09767-3
Vancouver
Vitório D, Souza EPR, Martins LF, Silva NFF da, Carvalho ACP de LF de, Oliveira ALI de, Andrade FE de. Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies [Internet]. Language Resources and Evaluation. 2024 ;[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/s10579-024-09767-3
Trabalho de evento
UDConcord: a concordancer for Universal Dependencies treebanks (2022)
Miranda, Lucas Gabriel Mendes; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: International Conference on Computational Processing of the Portuguese Language - PROPOR. Unidades: ICMC, EESC E ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUÍSTICA COMPUTACIONAL, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIRANDA, Lucas Gabriel Mendes e PARDO, Thiago Alexandre Salgueiro. UDConcord: a concordancer for Universal Dependencies treebanks. 2022, Anais.. Stroudsburg: ACL, 2022. Disponível em: https://aclanthology.org/2022.udfestbr-1.6. Acesso em: 02 nov. 2024.
APA
Miranda, L. G. M., & Pardo, T. A. S. (2022). UDConcord: a concordancer for Universal Dependencies treebanks. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2022.udfestbr-1.6
NLM
Miranda LGM, Pardo TAS. UDConcord: a concordancer for Universal Dependencies treebanks [Internet]. Proceedings. 2022 ;[citado 2024 nov. 02 ] Available from: https://aclanthology.org/2022.udfestbr-1.6
Vancouver
Miranda LGM, Pardo TAS. UDConcord: a concordancer for Universal Dependencies treebanks [Internet]. Proceedings. 2022 ;[citado 2024 nov. 02 ] Available from: https://aclanthology.org/2022.udfestbr-1.6
Trabalho de evento-anais periodico
An information retrieval pipeline for legislative documents from the brazilian Chamber of Deputies (2021)
Souza, Ellen Polliana Ramos ; Vitório, Douglas ; Moriyama, Gyovana ; Santos, Luiz; Martins, Lucas ; Souza, Mariana; Fonseca, Márcio; Silva, Nádia Felix Felipe da ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Albuquerque, Hidelberg Oliveira ; Oliveira, Adriano Lorena Inacio de
Source: Frontiers in Artificial Intelligence and Applications. Conference titles: Annual Conference on Legal Knowledge and Information Systems - JURIX. Unidades: ICMC, EESC E ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE TEXTO, PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, CORPUS, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Ellen Polliana Ramos et al. An information retrieval pipeline for legislative documents from the brazilian Chamber of Deputies. Frontiers in Artificial Intelligence and Applications. Amsterdam: IOS Press. Disponível em: https://doi.org/10.3233/FAIA210326. Acesso em: 02 nov. 2024. , 2021
APA
Souza, E. P. R., Vitório, D., Moriyama, G., Santos, L., Martins, L., Souza, M., et al. (2021). An information retrieval pipeline for legislative documents from the brazilian Chamber of Deputies. Frontiers in Artificial Intelligence and Applications. Amsterdam: IOS Press. doi:10.3233/FAIA210326
NLM
Souza EPR, Vitório D, Moriyama G, Santos L, Martins L, Souza M, Fonseca M, Silva NFF da, Carvalho ACP de LF de, Albuquerque HO, Oliveira ALI de. An information retrieval pipeline for legislative documents from the brazilian Chamber of Deputies [Internet]. Frontiers in Artificial Intelligence and Applications. 2021 ; 346 119-126.[citado 2024 nov. 02 ] Available from: https://doi.org/10.3233/FAIA210326
Vancouver
Souza EPR, Vitório D, Moriyama G, Santos L, Martins L, Souza M, Fonseca M, Silva NFF da, Carvalho ACP de LF de, Albuquerque HO, Oliveira ALI de. An information retrieval pipeline for legislative documents from the brazilian Chamber of Deputies [Internet]. Frontiers in Artificial Intelligence and Applications. 2021 ; 346 119-126.[citado 2024 nov. 02 ] Available from: https://doi.org/10.3233/FAIA210326

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