A Survey on Challenges and Advances in Natural Language Processing with a Focus on Legal Informatics and Low-Resource Languages
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3APU9W28SF" target="_blank" >RIV/00216208:11320/25:PU9W28SF - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184675668&doi=10.3390%2felectronics13030648&partnerID=40&md5=460aee45ced79d3f01af2ed8c7cb50aa" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184675668&doi=10.3390%2felectronics13030648&partnerID=40&md5=460aee45ced79d3f01af2ed8c7cb50aa</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/electronics13030648" target="_blank" >10.3390/electronics13030648</a>
Alternative languages
Result language
angličtina
Original language name
A Survey on Challenges and Advances in Natural Language Processing with a Focus on Legal Informatics and Low-Resource Languages
Original language description
The field of Natural Language Processing (NLP) has experienced significant growth in recent years, largely due to advancements in Deep Learning technology and especially Large Language Models. These improvements have allowed for the development of new models and architectures that have been successfully applied in various real-world applications. Despite this progress, the field of Legal Informatics has been slow to adopt these techniques. In this study, we conducted an extensive literature review of NLP research focused on legislative documents. We present the current state-of-the-art NLP tasks related to Law Consolidation, highlighting the challenges that arise in low-resource languages. Our goal is to outline the difficulties faced by this field and the methods that have been developed to overcome them. Finally, we provide examples of NLP implementations in the legal domain and discuss potential future directions. © 2024 by the authors.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Electronics (Switzerland)
ISSN
2079-9292
e-ISSN
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Volume of the periodical
13
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
25
Pages from-to
1-25
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85184675668