Legal Knowledge and Information Systems : JURIX 2024: The
Thirty-seventh Annual Conference

s 2024

Legal Knowledge and Information Systems : JURIX 2024: The Thirty-seventh Annual Conference

ŠAVELKA, Jaromír; Jakub HARAŠTA; Tereza NOVOTNÁ a Jakub MÍŠEK

Základní údaje

Originální název

Legal Knowledge and Information Systems : JURIX 2024: The Thirty-seventh Annual Conference

Autoři

ŠAVELKA, Jaromír; Jakub HARAŠTA ; Tereza NOVOTNÁ a Jakub MÍŠEK

Vydání

Amsterdan - Berlin - Washington, 406 s. 2024

Nakladatel

IOS Press

Další údaje

Jazyk

angličtina

Typ výsledku

Editorství tematického sborníku, editorství monotematického čísla odborného časopisu

Obor

50501 Law

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Open Access sborníku

Označené pro přenos do RIV

Organizační jednotka

Právnická fakulta

ISBN

978-1-64368-562-5

DOI

https://doi.org/10.3233/FAIA395

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 13. 12. 2024 16:40, JUDr. Mgr. Jakub Harašta, Ph.D.

Anotace

V originále

In the research community and the legal industry, interest continues to grow in technological advances related to legal information, knowledge representation, engineering, and processing in areas such as computational and formal models of legal reasoning, legal data analytics and information retrieval, as well as in the application of machine learning techniques to legal tasks, and the evaluation of these systems. This book presents the proceedings of JURIX 2024, the 37th International Conference on Legal Knowledge and Information Systems, held from 11 to 13 December in Brno, Czech Republic. The annual JURIX conference has become an international forum for academics and professionals to exchange knowledge and experiences at the intersection of law and artificial intelligence, and a total of 90 submissions were received for the conference. Following a rigorous review process, 21 long-paper submissions were selected for presentation and publication together with 17 short papers, representing an acceptance rate of 23% for long papers and 42% overall. An additional 16 submissions were accepted as posters. Topics covered included formal approaches applied to various aspects of legal reasoning; machine learning; natural language processing and information retrieval methods as applied to various legal tasks; hybrid approaches to working on the frontier between symbolic and sub-symbolic methods; experimental inquiries on the interface between computational systems and legal systems; and network analysis in law. Covering a wide range of topics and providing an overview of recent advances, the book will be of interest to all those working at the intersection between artificial intelligence and law.

Citovat

ŠAVELKA, Jaromír; Jakub HARAŠTA; Tereza NOVOTNÁ a Jakub MÍŠEK. Legal Knowledge and Information Systems : JURIX 2024: The Thirty-seventh Annual Conference. Amsterdan - Berlin - Washington: IOS Press, 2024, 406 s. ISBN 978-1-64368-562-5. Dostupné z: https://doi.org/10.3233/FAIA395.

@misc{2459997,
   author = {Šavelka, Jaromír and Harašta, Jakub and Novotná, Tereza and Míšek, Jakub},
   address = {Amsterdan - Berlin - Washington},
   doi = {https://doi.org/10.3233/FAIA395},
   language = {eng},
   location = {Amsterdan - Berlin - Washington},
   isbn = {978-1-64368-562-5},
   publisher = {IOS Press},
   title = {Legal Knowledge and Information Systems : JURIX 2024: The Thirty-seventh Annual Conference},
   url = {https://ebooks.iospress.nl/volume/legal-knowledge-and-information-systems-jurix-2024-the-thirty-seventh-annual-conference-brno-czech-republic-11-13-december-2024},
   year = {2024}
}

TY  - JOUR
ID  - 2459997
AU  - Šavelka, Jaromír - Harašta, Jakub - Novotná, Tereza - Míšek, Jakub
PY  - 2024
TI  - Legal Knowledge and Information Systems : JURIX 2024: The Thirty-seventh Annual Conference
PB  - IOS Press
CY  - Amsterdan - Berlin - Washington
SN  - 9781643685625
UR  - https://ebooks.iospress.nl/volume/legal-knowledge-and-information-systems-jurix-2024-the-thirty-seventh-annual-conference-brno-czech-republic-11-13-december-2024
N2  - In the research community and the legal industry, interest continues to grow in technological advances related to legal information, knowledge representation, engineering, and processing in areas such as computational and formal models of legal reasoning, legal data analytics and information retrieval, as well as in the application of machine learning techniques to legal tasks, and the evaluation of these systems. This book presents the proceedings of JURIX 2024, the 37th International Conference on Legal Knowledge and Information Systems, held from 11 to 13 December in Brno, Czech Republic. The annual JURIX conference has become an international forum for academics and professionals to exchange knowledge and experiences at the intersection of law and artificial intelligence, and a total of 90 submissions were received for the conference. Following a rigorous review process, 21 long-paper submissions were selected for presentation and publication together with 17 short papers, representing an acceptance rate of 23% for long papers and 42% overall. An additional 16 submissions were accepted as posters. Topics covered included formal approaches applied to various aspects of legal reasoning; machine learning; natural language processing and information retrieval methods as applied to various legal tasks; hybrid approaches to working on the frontier between symbolic and sub-symbolic methods; experimental inquiries on the interface between computational systems and legal systems; and network analysis in law. Covering a wide range of topics and providing an overview of recent advances, the book will be of interest to all those working at the intersection between artificial intelligence and law.
ER  -

ŠAVELKA, Jaromír; Jakub HARAŠTA; Tereza NOVOTNÁ a Jakub MÍŠEK. \textit{Legal Knowledge and Information Systems : JURIX 2024: The Thirty-seventh Annual Conference}. Amsterdan - Berlin - Washington: IOS Press, 2024, 406 s. ISBN~978-1-64368-562-5. Dostupné z: https://doi.org/10.3233/FAIA395.

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