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Affiliation

National Science and Technology Institute on Cyber Security, Electrical Engineering Department, University of Brasília (UnB), P.O. Box 4466, Brasília DF, Brazil

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2 Papers

Enhancing Post-Incarceration Support: A Custom Chatbot Solution for the Brazilian Prison System

Topics: Intelligent Agents; Natural Language Interfaces to Intelligent Systems

Authors: Geovana Silva , Lurian Lima , Guilherme Paiva and Edna Canedo

Affiliation: University of Brasília (UnB), Department of Computer Science, Brasília–DF, Brazil

Digital Object Identifier: 10.5220/0013086800003929

Proceedings of ICEIS 2025, ISBN: 978-989-758-749-8

Quick Abstract

This paper presents the development and implementation of a dedicated chatbot to assist former inmates of the Brazilian prison system, integrated into the ESVirtual application. This initiative addresses the multifaceted challenges faced by this vulnerable group by providing a comprehensive and sustainable approach to support their social reintegration. The proposed architecture leverages Docker Compose, Rasa NLU, Stories, and Actions, creating a robust and scalable framework capable of understanding natural language, adapting to diverse interaction scenarios, and executing customized actions. By integrating the chatbot into ESVirtual, we enhance its utility and accessibility, offering former inmates a reliable and accessible channel for obtaining information and support. The decision to manually craft the chatbot’s content, rather than using generative AI, ensures the accuracy, relevance, and reliability of the provided information, allowing for quick adaptation to changes in policies, legislation, and available services. Socially, this project aims to significantly contribute to the reintegration of former inmates into society, reducing recidivism rates and fostering a more just and inclusive community. By providing essential support and resources, the chatbot empowers individuals to overcome the challenges they face after leaving the prison system and to build dignified and productive lives. This work underscores the potential of technology and innovation to promote social well-being and justice, marking a significant step towards a more humanized approach to former inmates reintegration in Brazil.

Natural Language Processing Applied in the Context of Economic Defense: A Case Study in a Brazilian Federal Public Administration Agency

Topic: Natural Language Interfaces to Intelligent Systems

Authors: Vanessa Ribeiro ¹ , Jeanne Louize Emygdio ¹ , Guilherme Paiva ¹ , Bruno Praciano ¹ , Valério Martins ¹ , Edna Canedo ^{1

;

2} , Fábio Mendonça ¹ , Rafael Timóteo de Sousa Júnior ¹ and Ricardo Puttini ¹

Affiliations: ¹ National Science and Technology Institute on Cyber Security, Electrical Engineering Department, University of Brasília (UnB), P.O. Box 4466, Brasília DF, Brazil , ² Department of Computer Science, University of Brasília (UnB), P.O. Box 4466, Brasília DF, Brazil

Digital Object Identifier: 10.5220/0011991900003467

Proceedings of ICEIS 2023, ISBN: 978-989-758-648-4

Quick Abstract

Natural Language Processing (NLP) and Machine Learning (ML) resources can be used in Jurisprudence to deal more accurately with the large volume of documents and data in this context to provide speed to the execution of processes and greater accuracy to judicial decisions. This article aims to present applied research with a qualitative approach and exploratory objective, technically characterized as a case study. The research was conducted in a Brazilian federal public administration agency to verify the existence of antitrust practices in the pharmaceutical field and the monitoring of such practices by the institution. To this end, a methodological path was established based on three stages: building the corpus, running the NLP pipeline and consultation of the results in the Jurisprudence Search System (BJ System). In compliance with the objective of the case study, it was possible to identify the performance of the agency around the domain elicited, as well as indications of the existence of antitrust practices, since the 276 documents retrieved from the BJ system relate directly to routine processes executed by the agency, either in the sense of investigation, trial or analysis of the business practices.