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Vol-3441
urn:nbn:de:0074-3441-6
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).
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ASAIL 2023
Automated Semantic Analysis of Information in Legal Text
Proceedings of the 6th Workshop on Automated Semantic Analysis of Information in Legal Text
co-located with the 19th International Conference on Artificial Intelligence and Law (ICAIL 2023)
Braga, Portugal, 23rd September, 2023.
Edited by
Francesca Lagioia (1)
Jack Mumford (2)
Daphne Odekerken (3)
Hannes Westermann (4)
(1) European University Institute and University of Bologna, Italy
(2) University of Liverpool, UK
(3) Utrecht University, Netherlands
(4) University of Montreal, Canada
Table of Contents
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Preface
Summary: There were 24 papers submitted for peer-review to this workshop. Out of these,
17 papers were accepted for this volume,
12 as regular papers and
5 as short papers.
Session 1: Language Models in the Legal Domain
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Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise?
1-12
Jaromir Savelka,
Kevin Ashley,
Morgan Gray,
Hannes Westermann,
Huihui Xu
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Towards Meaningful Paragraph Embeddings for Data-Scarce Domains: A Case Study in the Legal Domain
13-18
Elize Herrewijnen,
Dennis F W Craandijk
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Enhancing Pre-Trained Language Models with Sentence Position Embeddings for Rhetorical Roles Recognition in
Legal Opinions
19-27
Anas Belfathi,
Nicolas Hernandez,
Laura Monceaux
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Automatic Rhetorical Roles Classification for Legal Documents using LEGAL-TransformerOverBERT
28-36
Gabriele Marino,
Daniele Licari,
Praveen Bushipaka,
Giovanni Comandé,
Tommaso Cucinotta
Session 2: Automatic Legal Knowledge Extraction
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Bridging the Gap: Mapping Layperson Narratives to Legal
Issues with Language Models
37-48
Hannes Westermann,
Sébastien Meeùs,
Mia Godet,
Aurore Troussel,
Jinzhe Tan,
Jaromir Savelka,
Karim Benyekhlef
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Taking the Law More Seriously by Investigating Design
Choices in Machine Learning Prediction Research
49-59
Cor Steging,
Silja Renooij,
Bart Verheij
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Semantic Extraction of Key Figures and Their Properties
From Tax Legal Texts Using Neural Models
60-71
Daniel Steinigen,
Marcin Namysl,
Markus Hepperle,
Jan Krekeler,
Susanne Landgraf
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Contrast Is All You Need
72-82
Burak Kilic,
Floris Bex,
Albert Gatt
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Organizing the Unorganized: A Novel Approach for Transferring a
Taxonomy of Labels into Flat-Labeled Document Collections
83-92
Michele Colombino,
Laurentiu Jr Marius Zaharia,
Giorgia Iacobellis,
Rachele Mignone,
Ivan Spada,
Chiara Bonfanti,
Emilio Sulis,
Luigi Di Caro,
Guido Boella
Session 3: Applied Legal Case Analysis
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Chasing the Invisible in the Grammar of Repetitions: A
Network Analysis Approach to Fiscal State Aids
93-102
Galileo Sartor,
Piera Santin,
Luigi Di Caro
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Applying NLP to Support Legal Decision-making in
Administrative Appeal Boards in the EU
103-110
Henrik Palmer Olsen,
Malte Højmark-Bertelsen,
Sebastian Felix Schwemer
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LexKey: A Keyword Generator for Legal Documents
111-121
Benjamin Cérat,
Olivier Salaün,
Noreddine Ben Jillali,
Marc-André Morissette,
Isabela Pocovnicu,
Emma Elliott,
François Harvey
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CaseScope: An Enhanced Search Tool for European Court Cases
122-128
Alexandre Correia,
Pedro Evangelista,
Nádia Soares,
Eugénio Rocha,
Cláudio Teixeira
Session 4: Structured Reasoning in the Legal Context
2023-06-16: submitted by Jack Mumford,
metadata incl. bibliographic data published under Creative Commons CC0
2023-07-13: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
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