ASAIL 2017
Automated Semantic Analysis of Information in Legal Text

Proceedings of the Second Workshop on Automated Semantic Analysis of Information in Legal Texts
co-located with the 16th International Conference on Artificial Intelligence and Law (ICAIL 2017)

London, UK, June 16, 2017.

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
Marc Lauritsen, Capstone Practice Systems, Inc., USA
Vern R. Walker, Maurice A. Deane School of Law at Hofstra University, USA
Adam Zachary Wyner, University of Aberdeen, UK

Table of Contents

Session 1: Rule Parsing, Text Classification, Segmentation

Session 2: Neural Models and Corpora

Session 3: Word Embeddings and Topic Models

Session 4: Semantics and Default Logic

2018-07-19: submitted by Matthias Grabmair, metadata incl. bibliographic data published under Creative Commons CC0
2018-07-23: published on CEUR-WS.org |valid HTML5|