| Vol-2632 urn:nbn:de:0074-2632-0 Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 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).

# MIREL 2019
MIning and REasoning with Legal texts

### Proceedings of the 4th International Workshop on MIning and REasoning with Legal texts
co-located with the 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019)

### Madrid, Spain, December 11, 2019.

Edited by

### Giovanni Casini 1, 5
Luigi Di Caro 2
Guido Governatori 3
Valentina Leone 2, 4
Réka Markovich 1

1 University of Luxembourg, Luxembourg
2 University of Turin, Italy
3 Data 61, Australia
4 University of Bologna, Italy
5 ISTI - CNR, Italy

## Table of Contents

- Preface
- Organisation
- Introduction
  Leendert van der Torre

### Invited Talks

- Legal Knowledge Modeling and Acquisition for Legal Reasoning in a Linked Open Data Framework
  Enrico Francesconi
- Teaching Legal Analytics and AI to Law Students
  Kevin Ashley

### Accepted Papers

- Modelling the US Constitution to Establish Constitutional Dictatorship
  Valeria Zahoransky, Christoph Benzmüller
- Reasoning in Court with the Outcome of a Machine Learning Algorithm with Case Law as an Input
  Geneviève Vanderstichele
- A Methodology for Encoding Regulatory Rules
  Hanif Bhuiyan, Francesco Olivieri, Guido Governatori, Mohammad Badiul Islam, Andy Bond, and Andry Rakotonirainy
- A Short Note on the Chisholm Paradox
  Guido Governatori
- Machine Learning and the General Repercussion on Brazilian Supreme Court: Applying the Victor Robot to Legal Texts
  Fabiano Hartmann, Debora Bonat
- Reasoning with and about Factors in Statutory Interpretation
  Michał Araszkiewicz, Tomasz Żurek, and Błażej Kuźniacki

2020-04-26: submitted by Giovanni Casini
2020-07-06: published on CEUR-WS.org |valid HTML5|