Vol-2384⫷ Vol-2385 ⫸Vol-2386
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 |