An information retrieval pipeline for legislative documents from the brazilian Chamber of Deputies (2021)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; MORIYAMA, GYOVANA MAYARA - ICMC ; SANTOS, LUIZ FERNANDO SILVA EUGENIO DOS - ICMC ; MARTINS, LUCAS FERNANDES - EESC E ICMC ; SOUZA, MARIANA SOARES ALVES DE - ICMC ; SOUZA, ELLEN POLLIANA RAMOS - ICMC ; SILVA, NADIA FELIX FELIPE DA - ICMC
- Unidades: ICMC; EESC E ICMC
- DOI: 10.3233/FAIA210326
- Subjects: RECUPERAÇÃO DA INFORMAÇÃO; RECONHECIMENTO DE TEXTO; PROCESSAMENTO DE LINGUAGEM NATURAL; TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS; CORPUS; PORTUGUÊS DO BRASIL
- Keywords: Legal Information Retrieval; Legislative Document Retrieval; Brazilian Portuguese; BM25
- Language: Inglês
- Imprenta:
- Source:
- Título: Frontiers in Artificial Intelligence and Applications
- ISSN: 0922-6389
- Volume/Número/Paginação/Ano: v. 346, p. 119-126, 2021
- Conference titles: Annual Conference on Legal Knowledge and Information Systems - JURIX
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by-nc
-
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: 24 dez. 2025. , 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 2025 dez. 24 ] 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 2025 dez. 24 ] Available from: https://doi.org/10.3233/FAIA210326 - Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies
- Assessing the impact of stemming algorithms applied to brazilian legislative documents retrieval
- Ulysses-RFSQ: a novel method to improve legal information retrieval based on relevance feedback
- On the assessment of deep learning models for named entity recognition of brazilian legal documents
- Named entity recognition: a survey for the portuguese language
- Multi-agent city expansion with land use and transport
- Not only what, but also when: understanding brazilian political comments on legislative bills over time through stance detection and topic modeling
- PLN no Direito: REN
- An agent-based approach to procedural city generation incorporating land use and transport interaction models
- UlyssesNERQ: expanding queries from brazilian portuguese legislative documents through named entity recognition
Informações sobre o DOI: 10.3233/FAIA210326 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3077118.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
