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An Evaluation of Methodologies for Legal Formalization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14220%2F22%3A00126754" target="_blank" >RIV/00216224:14220/22:00126754 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-031-15565-9_12" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-15565-9_12</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-15565-9_12" target="_blank" >10.1007/978-3-031-15565-9_12</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Evaluation of Methodologies for Legal Formalization

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50501 - Law

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    EXTRAAMAS 2022: Explainable and Transparent AI and Multi-Agent Systems

  • ISBN

    9783031155642

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    15

  • Pages from-to

    189-203

  • Publisher name

    Springer, Cham

  • Place of publication

    Neuveden

  • Event location

    Auckland, Nový Zéland

  • Event date

    May 9, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000870042100012