12 found
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  1.  4
    Thirty years of artificial intelligence and law: the third decade.Serena Villata, Michal Araszkiewicz, Kevin Ashley, Trevor Bench-Capon, L. Karl Branting, Jack G. Conrad & Adam Wyner - 2022 - Artificial Intelligence and Law 30 (4):561-591.
    The first issue of Artificial Intelligence and Law journal was published in 1992. This paper offers some commentaries on papers drawn from the Journal’s third decade. They indicate a major shift within Artificial Intelligence, both generally and in AI and Law: away from symbolic techniques to those based on Machine Learning approaches, especially those based on Natural Language texts rather than feature sets. Eight papers are discussed: two concern the management and use of documents available on the World Wide Web, (...)
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  2.  4
    The first international competition on computational models of argumentation: Results and analysis.Matthias Thimm & Serena Villata - 2017 - Artificial Intelligence 252 (C):267-294.
  3.  13
    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.  12
    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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  5.  6
    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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  6.  50
    Meta-Argumentation Modelling I: Methodology and Techniques.Guido Boella, Dov M. Gabbay, Leendert van der Torre & Serena Villata - 2009 - Studia Logica 93 (2-3):297 - 355.
    In this paper, we introduce the methodology and techniques of metaargumentation to model argumentation. The methodology of meta-argumentation instantiates Dung's abstract argumentation theory with an extended argumentation theory, and is thus based on a combination of the methodology of instantiating abstract arguments, and the methodology of extending Dung's basic argumentation frameworks with other relations among abstract arguments. The technique of meta-argumentation applies Dung's theory of abstract argumentation to itself, by instantiating Dung's abstract arguments with meta-arguments using a technique called flattening. (...)
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  7.  23
    A natural language bipolar argumentation approach to support users in online debate interactions†.Elena Cabrio & Serena Villata - 2013 - Argument and Computation 4 (3):209-230.
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  8.  5
    Meta-Argumentation Modelling I: Methodology and Techniques.Guido Boella, Dov Gabbay, Leendert Torre & Serena Villata - 2009 - Studia Logica 93 (2):297-355.
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  9.  1
    On the Input/Output behavior of argumentation frameworks.Pietro Baroni, Guido Boella, Federico Cerutti, Massimiliano Giacomin, Leendert van der Torre & Serena Villata - 2014 - Artificial Intelligence 217 (C):144-197.
  10.  8
    Emotions and personality traits in argumentation: An empirical evaluation1.Serena Villata, Elena Cabrio, Imène Jraidi, Sahbi Benlamine, Maher Chaouachi, Claude Frasson & Fabien Gandon - 2017 - Argument and Computation 8 (1):61-87.
  11.  27
    Introduction for artificial intelligence and law: special issue “natural language processing for legal texts”.Livio Robaldo, Serena Villata, Adam Wyner & Matthias Grabmair - 2019 - Artificial Intelligence and Law 27 (2):113-115.
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  12.  11
    Information and friend segregation for online social networks: a user study.Javed Ahmed, Serena Villata & Guido Governatori - 2019 - AI and Society 34 (4):753-766.
    Online social networks captured the attention of the masses by offering attractive means of sharing personal information and developing social relationships. People expose personal information about their lives on OSNs. This may result in undesirable consequences of users’ personal information leakage to an unwanted audience and raises privacy concerns. The issue of privacy has received a significant attention in both the research literature and the mainstream media. In this paper, we present results of an empirical study that measure users’ attitude (...)
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