TY - CHAP

T1 - Rhetorical Role Identification for Portuguese Legal Documents

AU - Aragy, Roberto

AU - Fernandes, Eraldo Rezende

AU - Caceres, Edson Norberto

N1 - Conference code: 10

PY - 2021

Y1 - 2021

N2 - In this paper, we present a new corpus for Rhetorical Role Identification in Portuguese legal documents. The corpus comprises petitions from 70 civil lawsuits filed in TJMS court and was manually labeled with rhetorical roles specifically tailored for petitions. Since petition documents are created without a standard structure, we had to deal with several issues to clean the extracted textual content. We assessed classic and deep learning machine learning methods on the proposed corpus. The best performing method obtained an F-score of 80.50. At the best of our knowledge, this is the first work to deal with rhetorical role identification for petitions, given that previous works focused only on judicial decisions. Additionally, it is also the first work to tackle this task for the Portuguese language. The proposed corpus, as well as the proposed rhetorical roles, can foster new research in the judicial area and also lead to new solutions to improve the flow of Brazilian court houses.

AB - In this paper, we present a new corpus for Rhetorical Role Identification in Portuguese legal documents. The corpus comprises petitions from 70 civil lawsuits filed in TJMS court and was manually labeled with rhetorical roles specifically tailored for petitions. Since petition documents are created without a standard structure, we had to deal with several issues to clean the extracted textual content. We assessed classic and deep learning machine learning methods on the proposed corpus. The best performing method obtained an F-score of 80.50. At the best of our knowledge, this is the first work to deal with rhetorical role identification for petitions, given that previous works focused only on judicial decisions. Additionally, it is also the first work to tackle this task for the Portuguese language. The proposed corpus, as well as the proposed rhetorical roles, can foster new research in the judicial area and also lead to new solutions to improve the flow of Brazilian court houses.

KW - Corpus

KW - Legal sentence classification

KW - Natural language processing

KW - Rhetorical role identification

KW - Informatics

KW - Business informatics

UR - http://www.scopus.com/inward/record.url?scp=85121825188&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-91699-2_38

DO - 10.1007/978-3-030-91699-2_38

M3 - Article in conference proceedings

AN - SCOPUS:85121825188

SN - 978-3-030-91698-5

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 557

EP - 571

BT - Intelligent Systems

A2 - Britto, André

A2 - Valdivia Delgado, Karina

PB - Springer Schweiz

CY - Cham

T2 - Brazilian Conference on Intelligent Systems - BRACIS 2021

Y2 - 29 November 2021 through 3 December 2021

ER -