Natural language processing application in legislative activity: a case study of similar amendments in the brazilian senate (2024)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; PRESSATO, DIANY - ICMC ; SIQUEIRA, FELIPE ALVES - ICMC ; SOUZA, ELLEN POLLIANA RAMOS - ICMC ; SILVA, NADIA FELIX FELIPE DA - ICMC ; DIAS, MÁRCIO DE SOUZA - ICMC
- Unidade: ICMC
- Subjects: RECUPERAÇÃO DA INFORMAÇÃO; APRENDIZADO COMPUTACIONAL; RECONHECIMENTO DE TEXTO; PROCESSAMENTO DE LINGUAGEM NATURAL; PORTUGUÊS DO BRASIL
- Language: Inglês
- Imprenta:
- Publisher: ACL
- Publisher place: Stroudsburg
- Date published: 2024
- Source:
- Título: Proceedings
- Conference titles: International Conference on Computational Processing of Portuguese - PROPOR
-
ABNT
PRESSATO, Diany et al. Natural language processing application in legislative activity: a case study of similar amendments in the brazilian senate. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.70. Acesso em: 26 dez. 2025. -
APA
Pressato, D., Andrade, P. L. C. de, Rocha Junior, F. C., Siqueira, F. A., Souza, E. P. R., Silva, N. F. F. da, et al. (2024). Natural language processing application in legislative activity: a case study of similar amendments in the brazilian senate. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.70 -
NLM
Pressato D, Andrade PLC de, Rocha Junior FC, Siqueira FA, Souza EPR, Silva NFF da, Dias M de S, Carvalho ACP de LF de. Natural language processing application in legislative activity: a case study of similar amendments in the brazilian senate [Internet]. Proceedings. 2024 ;[citado 2025 dez. 26 ] Available from: https://aclanthology.org/2024.propor-1.70 -
Vancouver
Pressato D, Andrade PLC de, Rocha Junior FC, Siqueira FA, Souza EPR, Silva NFF da, Dias M de S, Carvalho ACP de LF de. Natural language processing application in legislative activity: a case study of similar amendments in the brazilian senate [Internet]. Proceedings. 2024 ;[citado 2025 dez. 26 ] Available from: https://aclanthology.org/2024.propor-1.70 - Segmenting brazilian legislative text using weak supervision and active learning
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