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  BERTikal [1] is a cased BERT-base model for the Brazilian legal language and was trained from the BERTimbau's [2] checkpoint using Brazilian legal texts. More details on the datasets and training procedures can be found in [1].
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  ## Usage
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  ```python
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  # [ 0.0662, 0.2845, 0.1871, ..., -0.2542, -0.2933, -0.0661],
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  # [ 0.2761, -0.1657, 0.3288, ..., -0.2102, 0.0029, -0.2009]])
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  ```
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- # Cite
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-
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- Polo, Felipe Maia, et al. "LegalNLP-Natural Language Processing methods for the Brazilian Legal Language." Anais do XVIII Encontro Nacional de Inteligência Artificial e Computacional. SBC, 2021.
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-
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- @inproceedings{polo2021legalnlp,
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- title={LegalNLP-Natural Language Processing methods for the Brazilian Legal Language},
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- author={Polo, Felipe Maia and Mendon{\c{c}}a, Gabriel Caiaffa Floriano and Parreira, Kau{\^e} Capellato J and Gianvechio, Lucka and Cordeiro, Peterson and Ferreira, Jonathan Batista and de Lima, Leticia Maria Paz and do Amaral Maia, Ant{\^o}nio Carlos and Vicente, Renato},
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- booktitle={Anais do XVIII Encontro Nacional de Intelig{\^e}ncia Artificial e Computacional},
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- pages={763--774},
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- year={2021},
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- organization={SBC}
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- }
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  # References
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  BERTikal [1] is a cased BERT-base model for the Brazilian legal language and was trained from the BERTimbau's [2] checkpoint using Brazilian legal texts. More details on the datasets and training procedures can be found in [1].
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+ Please cite as:
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+
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+ Polo, Felipe Maia, et al. "LegalNLP-Natural Language Processing methods for the Brazilian Legal Language." Anais do XVIII Encontro Nacional de Inteligência Artificial e Computacional. SBC, 2021.
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+
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+ @inproceedings{polo2021legalnlp,
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+ title={LegalNLP-Natural Language Processing methods for the Brazilian Legal Language},
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+ author={Polo, Felipe Maia and Mendon{\c{c}}a, Gabriel Caiaffa Floriano and Parreira, Kau{\^e} Capellato J and Gianvechio, Lucka and Cordeiro, Peterson and Ferreira, Jonathan Batista and de Lima, Leticia Maria Paz and do Amaral Maia, Ant{\^o}nio Carlos and Vicente, Renato},
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+ booktitle={Anais do XVIII Encontro Nacional de Intelig{\^e}ncia Artificial e Computacional},
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+ pages={763--774},
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+ year={2021},
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+ organization={SBC}
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+ }
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  ## Usage
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  ```python
 
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  # [ 0.0662, 0.2845, 0.1871, ..., -0.2542, -0.2933, -0.0661],
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  # [ 0.2761, -0.1657, 0.3288, ..., -0.2102, 0.0029, -0.2009]])
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
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  # References
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