Vol-3594
urn:nbn:de:0074-3594-2

Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

LIRAI 2023

LIRAI 2023
Legal Information Retrieval meets Artificial Intelligence 2023

Proceedings of the 1st Legal Information Retrieval meets Artificial Intelligence Workshop (LIRAI 2023)
co-located with the 34th ACM Hypertext Conference (HT 2023)

Rome, Italy, September 04, 2023.

Edited by

Sabine Wehnert ,
Manuel Fiorelli
Davide Picca ****
Ernesto William De Luca ,
Armando Stellato

* Otto von Guericke University, Magdeburg, Germany
** Leibinz Institute for Educational Media | Georg Eckert Institute, Braunschweig, Germany
*** Tor Vergata University of Rome, Rome, Italy
**** University of Lausanne, Lausanne, Switzerland

Table of Contents

Overview paper

Summary of the Workshop Legal Information Retrieval meets Artificial Intelligence (LIRAI 2023) 1-8
Sabine Wehnert, Manuel Fiorelli, Davide Picca, Ernesto William De Luca, Armando Stellato
Summary: There were 8 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume, 3 as regular papers and 3 as short papers.

Keynote

Profiles of Knowledge Representation and Reasoning for Legal Information Retrieval and Compliance Checking 9
Enrico Francesconi

Contributed Papers

Legal Extractive Summarization of U.S. Court Opinions 10-30
Emmanuel Bauer, Dominik Stammbach, Nianlong Gu, Elliott Ash
Enhancing Accessibility of Parliamentary Video Streams: AI-Based Automatic Indexing Using Verbatim Reports 31-40
Daniele Bertillo, Andrea de Donato, Carlo Marchetti, Paolo Merialdo
DeepKEA: Employing Deep Learning Models for Keyword Extraction from Patent Documents 41-46
Rima Dessi, Hidir Aras, Lei Zhang
Topic Similarities in Rights and Duties across European Constitutions using Transformer-based Language Models 47-62
Candida M. Greco, Andrea Tagarelli
GDPR Article Retrieval based on Domain-adaptive and Task-adaptive Legal Pre-trained Language Models 63-76
Andrea Simeri, Andrea Tagarelli
Mining Sentiment and Subjectivity in Swiss Case Law 77-90
Sabine Wehnert, Davide Picca, Ernesto William De Luca

2023-12-12: submitted by Manuel Fiorelli, metadata incl. bibliographic data published under Creative Commons CC0
2023-12-15: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|