An Evaluation of Methodologies for Legal Formalization

D 2022

An Evaluation of Methodologies for Legal Formalization

NOVOTNÁ, Tereza a Tomer LIBAL

Základní údaje

Originální název

An Evaluation of Methodologies for Legal Formalization

Autoři

NOVOTNÁ, Tereza a Tomer LIBAL

Vydání

Neuveden, EXTRAAMAS 2022: Explainable and Transparent AI and Multi-Agent Systems, od s. 189-203, 15 s. 2022

Nakladatel

Springer, Cham

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

50501 Law

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

Web nakladatele

Impakt faktor

Impact factor: 0.402 v roce 2005

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14220/22:00126754

Organizační jednotka

Právnická fakulta

ISBN

978-3-031-15564-2

ISSN

Klíčová slova česky

Pravní formalizace; Evaluace; Přehled literatury

Klíčová slova anglicky

Legal Formalization; Evaluation; Literature Review

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 24. 2. 2023 14:46, Mgr. Petra Georgala

Anotace

V originále

Legal formalization is a necessary step for automated legal reasoning because it aims to capture the meaning of legal texts in a machine-readable form. Therefore, there are many attempts to create better legal formalization methods and to make legal reasoning techniques more efficient. However, these methods are rarely evaluated and thus, it is difficult to recognize the“good” legal formalization method. In this article, the authors provide a categorization of necessary properties of a “good” formalization that is based on a literature review of recent state-of-the-art methods. They conclude in favour of the legal experts’ evaluation method as the most suitable one for assessing the quality of legal formalization.

Citovat

NOVOTNÁ, Tereza a Tomer LIBAL. An Evaluation of Methodologies for Legal Formalization. Online. In Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling. EXTRAAMAS 2022: Explainable and Transparent AI and Multi-Agent Systems. Neuveden: Springer, Cham, 2022, s. 189-203. ISBN 978-3-031-15564-2. Dostupné z: https://doi.org/10.1007/978-3-031-15565-9_12.

@inproceedings{2220878,
   author = {Novotná, Tereza and Libal, Tomer},
   address = {Neuveden},
   booktitle = {EXTRAAMAS 2022: Explainable and Transparent AI and Multi-Agent Systems},
   doi = {https://doi.org/10.1007/978-3-031-15565-9_12},
   editor = {Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling},
   keywords = {Legal Formalization; Evaluation; Literature Review},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Neuveden},
   isbn = {978-3-031-15564-2},
   pages = {189-203},
   publisher = {Springer, Cham},
   title = {An Evaluation of Methodologies for Legal Formalization},
   url = {https://link.springer.com/chapter/10.1007/978-3-031-15565-9_12},
   year = {2022}
}

TY  - CONF
ID  - 2220878
AU  - Novotná, Tereza - Libal, Tomer
PY  - 2022
TI  - An Evaluation of Methodologies for Legal Formalization
PB  - Springer, Cham
CY  - Neuveden
SN  - 9783031155642
KW  - Legal Formalization
KW  - Evaluation
KW  - Literature Review
UR  - https://link.springer.com/chapter/10.1007/978-3-031-15565-9_12
N2  - Legal formalization is a necessary step for automated legal reasoning because it aims to capture the meaning of legal texts in a machine-readable form. Therefore, there are many attempts to create better legal formalization methods and to make legal reasoning techniques more efficient. However, these methods are rarely evaluated and thus, it is difficult to recognize the“good” legal formalization method. In this article, the authors provide a categorization of necessary properties of a “good” formalization that is based on a literature review of recent state-of-the-art methods. They conclude in favour of the legal experts’ evaluation method as the most suitable one for assessing the quality of legal formalization.
ER  -

NOVOTNÁ, Tereza a Tomer LIBAL. An Evaluation of Methodologies for Legal Formalization. Online. In Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling. \textit{EXTRAAMAS 2022: Explainable and Transparent AI and Multi-Agent Systems}. Neuveden: Springer, Cham, 2022, s.~189-203. ISBN~978-3-031-15564-2. Dostupné z: https://doi.org/10.1007/978-3-031-15565-9\_{}12.

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