Vol-2764
urn:nbn:de:0074-2764-1

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).



ASAIL 2020
Automated Semantic Analysis of Information in Legal Text


Proceedings of the Fourth Workshop on Automated Semantic Analysis of Information in Legal Text
held online in conjunction with the 33rd International Conference on Legal Knowledge and Information Systems​ (JURIX 2020)

December 9, 2020.


Edited by

Kevin D. Ashley, University of Pittsburgh, USA
Katie Atkinson, University of Liverpool, UK
L. Karl Branting, MITRE Corporation, USA
Enrico Francesconi, Italian National Research Council (IGSG-CNR) and European Parliament
Matthias Grabmair, SINC GmbH, Germany
Vern R. Walker, Maurice A. Deane School of Law at Hofstra University, USA
Bernhard Waltl, BMW Group AG, Germany
Adam Zachary Wyner, Swansea University, UK


Table of Contents

Session 1

Session 2

2020-12-06: submitted by Matthias Grabmair, metadata incl. bibliographic data published under Creative Commons CC0
2020-12-08: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|