Natural Language Processing of Russian Court Decisions for Digital Indicators Mapping for Oversight Process Control Efficiency: Disobeying a Police Officer Case

Metsker, Oleg G.; Trofimov, Egor Viktorovich; Grechishcheva, Sofia

doi:10.1007/978-3-030-39296-3_22

Cited by 14 publications

(6 citation statements)

References 11 publications

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“…France's e-Justice experience found security an essential key for courts document and remote access allows judges and prosecutors to access the system regardless of the time and location (Velicogna and Errera, 2011). Russian courts focused on system optimization in the decision generation process to improve the quality of knowledge extraction to foster case disposal (Metsker et al, 2020). Ukraine courts implemented the e-court system to build citizen trust toward justice and deliver services more transparently (Stetsenko et al, 2019).…”

Section: Related Workmentioning

confidence: 99%

Impact of e-court systems implementation: a case study

Ahmed

Muhammed

Pappel

et al. 2021

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Purpose E-court systems automate court processes and provide better case administration with more effective and efficient justice delivery. This paper aims to present the e-court system in the Sulaimaniyah Appellate Court in the Kurdistan Region of Iraq as a case study. It identifies significant improvements after adopting the system. Design/methodology/approach This study used a qualitative approach with an exploratory case study design. Data collected from a triangulation of three sources through structured expert interviews with 30 stakeholders, personal observations by two of the authors, supported by analyzing current relevant literature. R package for Qualitative Data Analysis was the analysis tool. Findings Findings showed 10 improvements that enhanced court efficiency and effectiveness concerning better case administration, a more transparent process and increased court case security. Research limitations/implications This research is limited to improvements after adopting an e-court system. Practical implications This research provides a foundation for practitioners who are on the way to implement the e-court system and serves the decision-makers in the Kurdistan Regional Government to plan future expansion in the region. Originality/value This research focuses on the e-court system in the Kurdistan Region of Iraq. It is implemented as a first e-service to be a pilot for a broader plan to integrate all appellate courts in other cities in the Kurdistan of Iraq, hence, stepping toward the implementation of e-government.

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Section: Related Workmentioning

confidence: 99%

Impact of e-court systems implementation: a case study

Ahmed

Muhammed

Pappel

et al. 2021

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“…The dataset was randomly split into a training (80%) and a testing (20%) datasets. We have extracted the narrative texts of every case and processed them using a data extraction software that was specially designed for Russian court decision processing [13].…”

Section: Data Collectionmentioning

confidence: 99%

Regulation Modelling and Analysis Using Machine Learning During the Covid-19 Pandemic in Russia

et al. 2021

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Due to the specific circumstances related to the COVID-19 pandemic, many countries have enforced emergency measures such as self-isolation and restriction of movement and assembly, which are also directly affecting the functioning of their respective public health and judicial systems. The goal of this study is to identify the efficiency of the criminal sanctions in Russia that were introduced in the beginning of COVID-19 outbreak using machine learning methods. We have developed a regression model for the fine handed out, using random forest regression and XGBoost regression, and calculated the features importance parameters. We have developed classification models for the remission of the penalty and for setting a sentence using a gradient boosting classifier.

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“…Во-первых, ведутся работы в области предметно-ориентированных онтологий, которые предполагается использовать для создания компьютерных систем правотворческого и правоприменительного назначения, основанных на базах знаний. Одни исследования в этой области сосредоточены на экспериментировании с выразительностью онтологии [63], тогда как другие сопрягаются с методами NLP и интеллектуального анализа данных [83]. Во-вторых, проводятся эксперименты по применению методов обработки естественного языка на массивах юридических документов: например, объектных графов [131] и метрик частности терминов и обратной частотности документов (TF-IDF) [83].…”

Section: компьютерные методы в универсальных правовых исследованияхunclassified

“…Одни исследования в этой области сосредоточены на экспериментировании с выразительностью онтологии [63], тогда как другие сопрягаются с методами NLP и интеллектуального анализа данных [83]. Во-вторых, проводятся эксперименты по применению методов обработки естественного языка на массивах юридических документов: например, объектных графов [131] и метрик частности терминов и обратной частотности документов (TF-IDF) [83]. В-третьих, на больших данных судебной практики проводятся вычислительные эксперименты по интеллектуальному анализу данных и машинному обучению, включая анализ временных рядов и регрессионные деревья [84,85,127].…”

Section: компьютерные методы в универсальных правовых исследованияхunclassified

Application of Computer Techniques and Systems in the Study of Law, Intellectual Analysis and Modeling of Legal Activity: A Systematic Review

Trofimov¹,

Metsker²

2020

Proceedings of ISP RAS

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Integration of computing systems and methods in legal activity allows to extract benefits such as resource saving, increase objectivity, completeness and accuracy of intellectual results. Understanding of the main scientific achievements and trends at the intersection of computer and legal sciences focuses on promising scientific and technological areas of informatization of law. This review systematizes the most important achievements at the intersection of legal and computer sciences, covering foreign and domestic scientific publications for 1949-2020. Researches of computer methods and systems initiated by American jurimetrics were aimed at storing, indexing, abstracting and searching for legal texts and led to the creation of legal information retrieval systems. Domestic legal cybernetics became a pioneer in the field of automation of criminalistics expert examination. Computer modeling of legal reasoning developed on the techniques of artificial intelligence, later it shifted to the field of legal dialogue and conflict of legal arguments, but in recent years it transforms the acquired experience on the basis of modern computer models, patterns and architectures. The popularization of decision-making support systems has provided multi-tasking systems, including information retrieval, legal reasoning, analytics, predictions and control. The latest research segments are focused on the application of machine learning and big data processing. Almost all successful methodological solutions retain their significance, continuing to be applied directly or as the basis for the further development of computational methods and information systems in legal activity.

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Natural Language Processing of Russian Court Decisions for Digital Indicators Mapping for Oversight Process Control Efficiency: Disobeying a Police Officer Case

Cited by 14 publications

References 11 publications

Impact of e-court systems implementation: a case study

Impact of e-court systems implementation: a case study

Regulation Modelling and Analysis Using Machine Learning During the Covid-19 Pandemic in Russia

Application of Computer Techniques and Systems in the Study of Law, Intellectual Analysis and Modeling of Legal Activity: A Systematic Review

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