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  1. Encoded summarization: summarizing documents into continuous vector space for legal case retrieval.Vu Tran, Minh Le Nguyen, Satoshi Tojo & Ken Satoh - 2020 - Artificial Intelligence and Law 28 (4):441-467.
    We present our method for tackling a legal case retrieval task by introducing our method of encoding documents by summarizing them into continuous vector space via our phrase scoring framework utilizing deep neural networks. On the other hand, we explore the benefits from combining lexical features and latent features generated with neural networks. Our experiments show that lexical features and latent features generated with neural networks complement each other to improve the retrieval system performance. Furthermore, our experimental results suggest the (...)
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  • Thirty years of Artificial Intelligence and Law: the second decade.Giovanni Sartor, Michał Araszkiewicz, Katie Atkinson, Floris Bex, Tom van Engers, Enrico Francesconi, Henry Prakken, Giovanni Sileno, Frank Schilder, Adam Wyner & Trevor Bench-Capon - 2022 - Artificial Intelligence and Law 30 (4):521-557.
    The first issue of Artificial Intelligence and Law journal was published in 1992. This paper provides commentaries on nine significant papers drawn from the Journal’s second decade. Four of the papers relate to reasoning with legal cases, introducing contextual considerations, predicting outcomes on the basis of natural language descriptions of the cases, comparing different ways of representing cases, and formalising precedential reasoning. One introduces a method of analysing arguments that was to become very widely used in AI and Law, namely (...)
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  • Accommodating change.Latifa Al-Abdulkarim, Katie Atkinson & Trevor Bench-Capon - 2016 - Artificial Intelligence and Law 24 (4):409-427.
    The third of Berman and Hafner’s early nineties papers on reasoning with legal cases concerned temporal context, in particular the evolution of case law doctrine over time in response to new cases and against a changing background of social values and purposes. In this paper we consider the ways in which changes in case law doctrine can be accommodated in a recently proposed methodology for encapsulating case law theories, and relate these changes the sources of change identified by Berman and (...)
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  • A methodology for designing systems to reason with legal cases using Abstract Dialectical Frameworks.Latifa Al-Abdulkarim, Katie Atkinson & Trevor Bench-Capon - 2016 - Artificial Intelligence and Law 24 (1):1-49.
    This paper presents a methodology to design and implement programs intended to decide cases, described as sets of factors, according to a theory of a particular domain based on a set of precedent cases relating to that domain. We useDialectical Frameworks, a recent development in AI knowledge representation, as the central feature of our design method. ADFs will play a role akin to that played by Entity–Relationship models in the design of database systems. First, we explain how the factor hierarchy (...)
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