Year: 2021
Type: conference-paper
Abstract: In this work, we carried out a study about the use of attention-based algorithms to automate the categorization of Brazilian case law documents. We used data from the Kollemata Project to produce two distinct datasets with adequate class systems. Then, we implemented a multi-class and multi-label version of BERT and fine-tuned different BERT models with the produced datasets. We evaluated several metrics, adopting the micro-averaged F1-Score as our main metric for which we obtained a performance value of 〈F1〉micro = 0.72 corresponding to gains of 30 percent points over the tested statistical baseline.
Authors: Felipe R. Serras, Marcelo Finger
Institution: Universidade de São Paulo
Language: English
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4200050671