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: 09 fev. 2026. -
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 2026 fev. 09 ] 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 2026 fev. 09 ] Available from: https://aclanthology.org/2024.propor-1.70 - Ulysses Tesemõ: a new large corpus for Brazilian legal and governmental domain
- Segmenting brazilian legislative text using weak supervision and active learning
- On the assessment of deep learning models for named entity recognition of brazilian legal documents
- Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies
- Not only what, but also when: understanding brazilian political comments on legislative bills over time through stance detection and topic modeling
- Ulysses-RFSQ: a novel method to improve legal information retrieval based on relevance feedback
- PLN no Direito: REN
- Named entity recognition: a survey for the portuguese language
- Assessing the impact of stemming algorithms applied to brazilian legislative documents retrieval
- RoBERTaLexPT: a legal RoBERTa model pretrained with deduplication for portuguese
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