Mineração de argumentos em documentos jurídicos em Português

Abstract

This work presents an argument mining approach applied to Brazilian labor court documents. Although the mining of arguments in legal documents has been a subject of study for over a decade, only one work has been found that specifically applies this study to Brazilian Portuguese in the legal domain. In this dissertation, we thoroughly explore all the necessary steps to achieve the objective of the argument mining task. Thus, our approach consists of use a Transformers-based Language Model trained on a specific domain corpus of Brazilian labor justice and we report an F1-score of 88.86% on the classification task. The proposal outperformed BERTimbau by 1.88% and Deberta by 3.39%.