Eunomos, a Legal Document and Knowledge Management System to Build Legal Services

Boella, Guido; Humphreys, Llio; Martín, Marco Antonio Gómez; Rossi, Piercarlo; Torre, Leendert van der

doi:10.1007/978-3-642-35731-2_9

Cited by 15 publications

(8 citation statements)

References 17 publications

(18 reference statements)

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“…We have a total of 136 criminal cases (first five categories) and 265 civil cases (remaining categories). In our previous work [17], we used only eight (8) categories but this time we have increased it to eighteen (18). For example, the homicide category has been split into two different categories: murder and manslaughter and involuntary homicide by imprudence.…”

Section: Methodsmentioning

confidence: 99%

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An innovative multi-segment strategy for the classification of legal judgments using the k-nearest neighbour classifier

Pudaruth

Soyjaudah

Gunputh

2017

Complex Intell. Syst.

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The classification of legal documents has been receiving considerate attention over the last few years. This is mainly because of the over-increasing amount of legal information that is being produced on a daily basis in the courts of law. In the Republic of Mauritius alone, a total of 141,164 cases were lodged in the different courts in the year 2015. The Judiciary of Mauritius is becoming more efficient due to a number of measures which were implemented and the number of cases disposed of in each year has also risen significantly; however, this is still not enough to catch up with the increase in the number of new cases that are lodged. In this paper, we used the k-nearest neighbour machine learning classifier in a novel way. Unlike news article, judgments are complex documents which usually span several pages and contains a variety of information about a case. Our approach consists of splitting the documents into equal-sized segments. Each segment is then classified independently of the others. The selection of the predicted category is then done through a plurality voting procedure. Using this novel approach, we have been able to classify law cases with an accuracy of over 83.5%, which is 10.5% higher than when using the whole documents dataset. To the best of our knowledge, this type of process has never been used earlier to categorise legal judgments or other types of documents. In this work, we also

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Section: Methodsmentioning

confidence: 99%

“…In our previous work on the categorisation of Supreme Court cases [18], we identified several reasons for this. These are the high variability in document length, presence of abstract concepts and multilingualism (for Mauritian cases).…”

Section: Problem Statementmentioning

confidence: 99%

An innovative multi-segment strategy for the classification of legal judgments using the k-nearest neighbour classifier

Pudaruth

Soyjaudah

Gunputh

2017

Complex Intell. Syst.

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“…In fact, many governmental initiatives are searching to create a free access to legislation online. Nevertheless, as reported by [4], the online availability of legal documents does not solve the practical problems of citizens and businesses: an approach to model the knowledge and interpretation from legal documents, queries or laws is essential to improve the outcomes.…”

Section: Related Workmentioning

confidence: 99%

An ontological approach for simulating legal action in the Brazilian penal code

Rodrigues¹,

Azevedo²,

Silva³

et al. 2015

Proceedings of the 30th Annual ACM Symposium on Applied Computing

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The applicability of Artificial Intelligence for the Legal Domain has several and non-depleted lines of research. Since Colonization, the use of ambiguity in drafting the Brazilian Legal Documents was a palliative to solve cases involving economic, political and social interests between local authorities with the European Court. Further, when conflicts between norms emerge, only time, specificity and superiority criteria are not enough to break the tie, a second degree level governing what criteria should be used in different situations need to be addressed as well. In face of these tangle legal documents, this research project aims to present the OntoCrime and OntoLegalTask: ontological representations through which one can formalize the Brazilian Penal Law to check norm violation and automate legal reasoning. Finally, an experiment with the drinking-drive law is presented.

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“…Finally, [2] presented a system to classify paragraphs from Italian laws into ten different categories using SVM, reaching 92% of accuracy, even if their categories were high-level meta-classes such as "Substitution", and so on. As further references, we cite [4], that presented the system Eunomos, an advanced legal document management tool.…”

Section: Related Workmentioning

confidence: 99%

A system for classifying multi-label text into EuroVoc

Boella

Rispoli

et al. 2013

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law

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In this work we present a working system for automatic classification of text documents into the EuroVoc multilingual thesaurus. EuroVoc contains around 7,000 categories with different levels of specificity. The system relies on a simple approach for the treatment of multi-label texts where each document may have more than one associated category. The classifier is based on the well-known Support Vector Machine algorithm trained using the JRC-Acquis corpus, containing around 23,000 documents labeled with six EuroVoc categories in average. The demonstration scenario will show the ability of the system to classify documents taken on site from the Eur-Lex web portal of the European Union, together with features for visualization and navigation of the texts at different granulatity.

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Eunomos, a Legal Document and Knowledge Management System to Build Legal Services

Cited by 15 publications

References 17 publications

An innovative multi-segment strategy for the classification of legal judgments using the k-nearest neighbour classifier

An innovative multi-segment strategy for the classification of legal judgments using the k-nearest neighbour classifier

An ontological approach for simulating legal action in the Brazilian penal code

A system for classifying multi-label text into EuroVoc

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