Legal knowledge and information systems JURIX 2023: the thirty-sixth annual conference, Maastricht, the Netherlands, 18-20 December 2023
Intro -- Title Page -- Foreword -- Preface -- About the Conference -- Contents -- Formal Approaches -- A Note on Hierarchical Constraints -- The Importance of Intermediate Factors -- Inferring New Classifications in Legal Case-Based Reasoning -- Precedent-Based Reasoning with Incomplete Cases -- Hie...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Amsterdam, Berlin, Washington, DC
IOS Press
2023
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| Schriftenreihe: | Frontiers in artificial intelligence and applications
volume 379 |
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Tag hinzufügen | Zusammenfassung: | Intro -- Title Page -- Foreword -- Preface -- About the Conference -- Contents -- Formal Approaches -- A Note on Hierarchical Constraints -- The Importance of Intermediate Factors -- Inferring New Classifications in Legal Case-Based Reasoning -- Precedent-Based Reasoning with Incomplete Cases -- Hierarchical a Fortiori Reasoning with Dimensions -- Improving Rationales with Small, Inconsistent and Incomplete Data -- Evaluating Methods for Setting a Prior Probability of Guilt -- Arguing About Choosing a Normative System: Conflict of Laws -- On Legal Teleological Reasoning -- Assisted Normative Reasoning with Aristotelian Diagrams -- Learning Case Relevance in Case-Based Reasoning with Abstract Argumentation -- Dimensions and Precedential Constraint: Factors Deriving from Multiple Dimensions -- Conceptual Structures in Statutory Interpretation -- Permission in a Kelsenian Perspective -- Deontics and Time in Contracts: An Executable Semantics for the L4 DSL -- Automating Business Process Compliance for the EU AI Act -- Towards a Semantic Specification for GDPR Data Breach Reporting -- Insurance Portfolio Analysis as Containment Testing -- Towards a Purpose-Based Access Control Model Derived from the Purpose Limitation Principle -- Connecting Rule-Based and Case-Based Representations of Soft-Constraint Norms -- Experimental Approaches -- Can GPT Alleviate the Burden of Annotation? -- From Text to Structure: Using Large Language Models to Support the Development of Legal Expert Systems -- Information Extraction from Lengthy Legal Contracts: Leveraging Query-Based Summarization and GPT-3.5 -- Harnessing GPT-3.5-Turbo for Rhetorical Role Prediction in Legal Cases -- Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies -- New Horizons of Legal Judgement Predication via Multi-Task Learning and LoRA. |
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| Beschreibung: | Literaturangaben |
| Beschreibung: | xix, 400 Seiten Illustrationen, Diagramme |
| ISBN: | 9781643684727 978-1-64368-472-7 |