Legal Knowledge and Information Systems

JURIX 2023: The Thirty-sixth Annual Conference, Maastricht, the Netherlands, 18-20 December 2023

Editors

Sileno, G.,
Spanakis, J.,
van Dijck, G.

Publication date

# of pages

420

Cover

Softcover

ISBN print

978-1-64368-472-7

ISBN online

978-1-64368-473-4
Open Access
This Book Contains A Subject Index

Description

Technological advances related to legal information, knowledge representation, engineering, and processing have aroused growing interest within the research community and the legal industry in recent years. These advances relate to areas such as computational and formal models of legal reasoning, legal data analytics, legal information retrieval, the application of machine learning techniques to different legal tasks, and the experimental evaluation of these systems.

This book presents the proceedings of JURIX 2023, the 36th International Conference on Legal Knowledge and Information Systems, held from 18–20 December 2023 in Maastricht, the Netherlands. This annual conference has become recognized as an international forum where academics and professionals working at the intersection of law and artificial intelligence can exchange knowledge and experience. A total of 92 submissions were received for the conference, of which 18 were selected as long papers, 30 as short papers and 7 as demo papers following a rigorous review process. This represents an acceptance rate of around 20% for long papers (60% overall). Topics covered include formal approaches applied to various aspects of legal reasoning; machine learning and information retrieval methods applied to various natural language processing tasks; hybrid approaches to working on the frontier between symbolic and sub-symbolic methods; experimental inquiries into the interfaces between computational systems and legal systems; and network analysis in law.

Providing a comprehensive overview of recent advances in the field, the book will be of interest to all those working at the intersection between law and AI.

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