Identification of Judicial Outcomes in Judgments: A Generalized Gini-PLS Approach
1
EuroMov Digital Health in Motion, University of Montpellier, IMT Mines Ales, 30100 Ales, France
2
CHROME, University of Nîmes, Avenue du Dr. Georges Salan, 30000 Nimes, France
*
Author to whom correspondence should be addressed.
Stats 2020, 3(4), 427-443; https://doi.org/10.3390/stats3040027
Received: 19 July 2020 / Revised: 17 September 2020 / Accepted: 19 September 2020 / Published: 27 September 2020
(This article belongs to the Special Issue Interdisciplinary Research on Predictive Justice)
This paper presents and compares several text classification models that can be used to extract the outcome of a judgment from justice decisions, i.e., legal documents summarizing the different rulings made by a judge. Such models can be used to gather important statistics about cases, e.g., success rate based on specific characteristics of cases’ parties or jurisdiction, and are therefore important for the development of Judicial prediction not to mention the study of Law enforcement in general. We propose in particular the generalized Gini-PLS which better considers the information in the distribution tails while attenuating, as in the simple Gini-PLS, the influence exerted by outliers. Modeling the studied task as a supervised binary classification, we also introduce the LOGIT-Gini-PLS suited to the explanation of a binary target variable. In addition, various technical aspects regarding the evaluated text classification approaches which consists of combinations of representations of judgments and classification algorithms are studied using an annotated corpora of French justice decisions.
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MDPI and ACS Style
Tagny-Ngompé, G.; Mussard, S.; Zambrano, G.; Harispe, S.; Montmain, J. Identification of Judicial Outcomes in Judgments: A Generalized Gini-PLS Approach. Stats 2020, 3, 427-443. https://doi.org/10.3390/stats3040027
AMA Style
Tagny-Ngompé G, Mussard S, Zambrano G, Harispe S, Montmain J. Identification of Judicial Outcomes in Judgments: A Generalized Gini-PLS Approach. Stats. 2020; 3(4):427-443. https://doi.org/10.3390/stats3040027
Chicago/Turabian StyleTagny-Ngompé, Gildas, Stéphane Mussard, Guillaume Zambrano, Sébastien Harispe, and Jacky Montmain. 2020. "Identification of Judicial Outcomes in Judgments: A Generalized Gini-PLS Approach" Stats 3, no. 4: 427-443. https://doi.org/10.3390/stats3040027
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