2 research outputs found

    Arguments, rules and cases in law: Resources for aligning learning and reasoning in structured domains

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    This paper provides a formal description of two legal domains. In addition, we describe the generation of various artificial datasets from these domains and explain the use of these datasets in previous experiments aligning learning and reasoning. These resources are made available for the further investigation of connections between arguments, cases and rules. The datasets are publicly available at https://github.com/CorSteging/LegalResource

    Application of argument based machine learning to law

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