Victor Project

Authors

  • Pedro Inazawa University of Brasília
  • Fabiano Hartmann University of Brasília
  • Teófilo de Campos University of Brasília
  • Nilton Silva University of Brasília
  • Fabricio Braz University of Brasília

DOI:

https://doi.org/10.5753/compbr.2019.39.4522

Keywords:

Machine Learning, Artificial Intelligence, Natural Language Processing, Judiciary

Abstract

The paper presents the Victor Project, a pioneering tool in the world for classifying legal cases of general repercussions, which has been implemented in the Federal Supreme Court.

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References

Grupo de Aprendizado de Máquina (GPAM). Projeto Victor. [link]. [Online; Acessado em 19-Fev-2018].

Lydia Medeiros. Supremo do futuro. o Globo, Jun 2018.

Nilton Silva, Fabricio Braz, Teofilo Campos, Andre Guedes, Danilo Mendes, Davi Bezerra, Davi Gusmao, Felipe Chaves, Gabriel Ziegler, Lucas Horinouchi, Marcelo Ferreira, Pedro Inazawa, Victor Coelho, Ricardo Fernandes, Fabiano Peixoto, Mamede Maia Filho, Bernardo Sukiennik, Lahis Rosa, Roberta Silva, Taina Junquilho, and Gustavo Carvalho. Document type classification for Brazil’s supreme court using a convolutional neural network. In Proceedings of The Tenth International Conference on Forensic Computer Science and Cyber Law. HTCIA, oct 2018.

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Published

2019-04-01

How to Cite

Inazawa, P., Hartmann, F., Campos, T. de, Silva, N., & Braz, F. (2019). Victor Project. Brazil Computing, (39), 19–24. https://doi.org/10.5753/compbr.2019.39.4522

Issue

No. 39 (2019)

Section

Papers

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.