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  1.  22
    Taking stock of legal ontologies: a feature-based comparative analysis.Valentina Leone, Luigi Di Caro & Serena Villata - 2020 - Artificial Intelligence and Law 28 (2):207-235.
    Ontologies represent the standard way to model the knowledge about specific domains. This holds also for the legal domain where several ontologies have been put forward to model specific kinds of legal knowledge. Both for standard users and for law scholars, it is often difficult to have an overall view on the existing alternatives, their main features and their interlinking with the other ontologies. To answer this need, in this paper, we address an analysis of the state-of-the-art in legal ontologies (...)
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  2.  23
    Taking stock of legal ontologies: a feature-based comparative analysis.Valentina Leone, Luigi Di Caro & Serena Villata - 2020 - Artificial Intelligence and Law 28 (2):207-235.
    Ontologies represent the standard way to model the knowledge about specific domains. This holds also for the legal domain where several ontologies have been put forward to model specific kinds of legal knowledge. Both for standard users and for law scholars, it is often difficult to have an overall view on the existing alternatives, their main features and their interlinking with the other ontologies. To answer this need, in this paper, we address an analysis of the state-of-the-art in legal ontologies (...)
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  3.  26
    Taking stock of legal ontologies: a feature-based comparative analysis.Valentina Leone, Luigi Di Caro & Serena Villata - 2020 - Artificial Intelligence and Law 28 (2):207-235.
    Ontologies represent the standard way to model the knowledge about specific domains. This holds also for the legal domain where several ontologies have been put forward to model specific kinds of legal knowledge. Both for standard users and for law scholars, it is often difficult to have an overall view on the existing alternatives, their main features and their interlinking with the other ontologies. To answer this need, in this paper, we address an analysis of the state-of-the-art in legal ontologies (...)
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  4.  41
    Semi-automatic knowledge population in a legal document management system.Guido Boella, Luigi Di Caro & Valentina Leone - 2019 - Artificial Intelligence and Law 27 (2):227-251.
    Every organization has to deal with operational risks, arising from the execution of a company’s primary business functions. In this paper, we describe a legal knowledge management system which helps users understand the meaning of legislative text and the relationship between norms. While much of the knowledge requires the input of legal experts, we focus in this article on NLP applications that semi-automate essential time-consuming and lower-skill tasks—classifying legal documents, identifying cross-references and legislative amendments, linking legal terms to the most (...)
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    Semi-automatic knowledge population in a legal document management system.Guido Boella, Luigi Di Caro & Valentina Leone - 2019 - Artificial Intelligence and Law 27 (2):227-251.
    Every organization has to deal with operational risks, arising from the execution of a company’s primary business functions. In this paper, we describe a legal knowledge management system which helps users understand the meaning of legislative text and the relationship between norms. While much of the knowledge requires the input of legal experts, we focus in this article on NLP applications that semi-automate essential time-consuming and lower-skill tasks—classifying legal documents, identifying cross-references and legislative amendments, linking legal terms to the most (...)
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