Towards automated classification of repetitive themes in brazilian courts with LegalClass (2024)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; FREIRE, DANIELA LOPES - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-031-54256-5_23
- Subjects: APRENDIZADO COMPUTACIONAL; PROCESSAMENTO DE LINGUAGEM NATURAL; RECONHECIMENTO DE TEXTO; PORTUGUÊS DO BRASIL; VOCABULÁRIO JURÍDICO
- Keywords: Lawsuit classification; Repetitive themes; Natural language processing; Machine learning; Artificial intelligence; Jurisdictional provision
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Networks and Systems
- ISSN: 2367-3370
- Volume/Número/Paginação/Ano: v. 933, p. 247-257, 2024
- Conference titles: International Conference on Information Technology & Systems - ICITS
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
FREIRE, Daniela Lopes et al. Towards automated classification of repetitive themes in brazilian courts with LegalClass. Lecture Notes in Networks and Systems. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-54256-5_23. Acesso em: 09 fev. 2026. , 2024 -
APA
Freire, D. L., Almeida, A. M. de, Dias, M. de S., Rivolli, A., Pereira, F. S. F., Godoi, G. A. de, & Carvalho, A. C. P. de L. F. de. (2024). Towards automated classification of repetitive themes in brazilian courts with LegalClass. Lecture Notes in Networks and Systems. Cham: Springer. doi:10.1007/978-3-031-54256-5_23 -
NLM
Freire DL, Almeida AM de, Dias M de S, Rivolli A, Pereira FSF, Godoi GA de, Carvalho ACP de LF de. Towards automated classification of repetitive themes in brazilian courts with LegalClass [Internet]. Lecture Notes in Networks and Systems. 2024 ; 933 247-257.[citado 2026 fev. 09 ] Available from: https://doi.org/10.1007/978-3-031-54256-5_23 -
Vancouver
Freire DL, Almeida AM de, Dias M de S, Rivolli A, Pereira FSF, Godoi GA de, Carvalho ACP de LF de. Towards automated classification of repetitive themes in brazilian courts with LegalClass [Internet]. Lecture Notes in Networks and Systems. 2024 ; 933 247-257.[citado 2026 fev. 09 ] Available from: https://doi.org/10.1007/978-3-031-54256-5_23 - Técnicas de sumarização de textos jurídicos para suporte à classificação de documentos de decisões judiciais
- Threshold-based classification to enhance confidence in open set of legal texts
- A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection
- Assessing advanced computer vision techniques in aerial imagery: a case study on transmission tower identification
- LegalSum: towards tool for evaluation for extractive summarization of brazilian lawsuits
- Exploratory study of data sampling methods for imbalanced legal text classification
- Techniques for dealing with imbalanced data: a systematic literature review
- Physics-informed neural networks for modelling rheumatoid arthritis progression: a novel approach integrating pathophysiological laws with machine learning
- Comparative analysis of data sampling techniques for legal text classification in real-world scenarios
- Machine learning applied in SARS-CoV-2 COVID 19 screening using clinical analysis parameters
Informações sobre o DOI: 10.1007/978-3-031-54256-5_23 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3237986.pdf | ||
 |
3237986_postprint.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
