Vol-2385
urn:nbn:de:0074-2385-8




ASAIL 2019
Automated Semantic Analysis of Information in Legal Text


Proceedings of the Third Workshop on Automated Semantic Analysis of Information in Legal Texts
co-located with the 17th International Conference on Artificial Intelligence and Law (ICAIL 2019)

Montreal, QC, Canada, June 21, 2019.


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 (ITTIG-CNR), Publications Office of the European Union
Matthias Grabmair, Carnegie Mellon University, USA
Bernhard Waltl, BMW Group AG, Germany
Vern R. Walker, Maurice A. Deane School of Law at Hofstra University, USA
Adam Zachary Wyner, Swansea University, UK



Table of Contents

Session 1: Capturing Legal Discourse

Session 2: Reformulation & Segmentation

Session 3: Court Document Analysis

Session 4: Analyzing Codification

Session 5: Unsupervised Methods on Legal Data

Session 6: Machine Learning Method Challenges on Legal Data


2019-06-19: submitted by Matthias Grabmair, metadata incl. bibliographic data published under Creative Commons CC0
2019-06-19: published on CEUR-WS.org |valid HTML5|