Automating petition classification in Brazil’s legal system: a two-step deep learning approach-Reference-Cited by-同舟云学术

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Automating petition classification in Brazil’s legal system: a two-step deep learning approach

Published:2023-12-15 Issue: Volume: Page:
ISSN:0924-8463
Container-title:Artificial Intelligence and Law
language:en
Short-container-title:Artif Intell Law

Author:

Costa Yuri D. R.,Oliveira Hugo,Nogueira Valério,Massa Lucas,Yang Xu,Barbosa Adriano,Oliveira Krerley,Vieira Thales^ORCID

Funder

Tribunal de Justiça do Estado de Alagoas

Publisher

Springer Science and Business Media LLC

Subject

Law,Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10506-023-09385-4.pdf

Reference58 articles.

1. Aggarwal CC, Zhai C (2012) A survey of text classification algorithms. In: Mining text data. Springer, pp 163–222

2. Aguiar A, Silveira R, Pinheiro V, Furtado V, Neto JA (2021) Text classification in legal documents extracted from lawsuits in Brazilian courts. In: Brazilian conference on intelligent systems. Springer, pp 586–600

3. Altınel B, Ganiz MC (2018) Semantic text classification: a survey of past and recent advances. Inf Process Manag 54(6):1129–1153

4. Araújo DC, Lima A, Lima JP, Costa JA (2021) A comparison of classification methods applied to legal text data. In: Progress in artificial intelligence: 20th EPIA conference on artificial intelligence, EPIA 2021, Virtual Event, September 7–9, 2021, Proceedings 20. Springer, pp 68–80

5. Bahdanau D, Cho K, Bengio Y (2014) Neural machine translation by jointly learning to align and translate. arXiv:1409.0473

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