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Author
dc.contributor.author
Csányi Gergely Márkhu_HU
Author
dc.contributor.author
Vági Renátóhu_HU
Author
dc.contributor.author
Nagy Dánielhu_HU
Author
dc.contributor.author
Üveges Istvánhu_HU
Author
dc.contributor.author
Vadász János Pálhu_HU
Author
dc.contributor.author
Megyeri Andreahu_HU
Author
dc.contributor.author
Orosz Tamáshu_HU
Availability Date
dc.date.accessioned
2022-04-11T10:31:17Z
Availability Date
dc.date.available
2022-04-11T10:31:17Z
Release
dc.date.issued
2022hu_HU
Issn
dc.identifier.issn
2076-3417hu_HU
uri
dc.identifier.uri
http://hdl.handle.net/20.500.12944/17573
Abstract
dc.description.abstract
One of the most time-consuming parts of an attorney’s job is finding similar legal cases. Categorization of legal documents by their subject matter can significantly increase the discoverability of digitalized court decisions. This is a multi-label classification problem, where each relatively long text can fit into more than one legal category. The proposed paper shows a solution where this multilabel classification problem is decomposed into more than a hundred binary classification problems. Several approaches have been tested, including different machine-learning and text-augmentation techniques to produce a practically applicable model. The proposed models and the methodologies were encapsulated and deployed as a digital-twin into a production environment. The performance of the created machine learning-based application reaches and could also improve the human-experts performance on this monotonous and labor-intensive task. It could increase the e-discoverability of the documents by about 50%.hu_HU
Language
dc.language
enhu_HU
Rent
dc.publisher
MDPIhu_HU
Keywords
dc.subject
Digital twinhu_HU
Keywords
dc.subject
Legal document classificationhu_HU
Keywords
dc.subject
Legaltechhu_HU
Keywords
dc.subject
Multi-label classificationhu_HU
Keywords
dc.subject
Multi-label documentshu_HU
Title
dc.title
Building a Production-Ready Multi-Label Classifier for Legal Documents with Digital-Twin-Distillerhu_HU
Type
dc.type
folyóiratcikkhu_HU
Version
dc.description.version
publishedhu_HU

dc.rights.accessRights
nyílt hozzáférésűhu_HU
Doi ID
dc.identifier.doi
10.3390/app12031470hu_HU
Discipline Discipline +
dc.subject.discipline
Társadalomtudományokhu_HU

dc.subject.sciencebranch
Társadalomtudományok/Állam- és jogtudományokhu_HU
MTMT ID
dc.identifier.mtmt
32634154hu_HU

dc.identifier.journalTitle
Applied Sciences (Switzerland)hu_HU

dc.identifier.journalVolume
12hu_HU

dc.identifier.journalIssueNumber
3hu_HU
Wos ID
dc.identifier.wos
000760224200001hu_HU
ID Scopus
dc.identifier.scopus
2-s2.0-85123611535hu_HU
Author institution
dc.contributor.department
Információs Társadalom Kutatóintézethu_HU

dc.contributor.faculty
Eötvös József Kutatóközponthu_HU


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