| Vol-2143 urn:nbn:de:0074-2143-0 Copyright © 2017 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# 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

- Preface

### Session 1: Rule Parsing, Text Classification, Segmentation

- Semi-automated creation of regulation rule bases using generic template-driven rule extraction
  Deepali Kholkar, Sagar Sunkle, Vinay Kulkarni
- Automating Judicial Document Analysis
  L. Karl Branting

### Session 2: Neural Models and Corpora

- Solving Bar Exam Questions with Deep Neural Networks
  Adebayo Kolawole John, Luigi Di Caro, Guido Boella
- BO-ECLI Parser Engine: the Extensible European Solution for the Automatic Extraction of Legal Links
  Tommaso Agnoloni, Lorenzo Bacci, Marc van Opijnen
- Exploring the Use of Text Classification in the Legal Domain
  Octavia-Maria Şulea, Marcos Zampieri, Shervin Malmasi, Mihaela Vela, Liviu P. Dinu, Josef van Genabith

### Session 3: Word Embeddings and Topic Models

- Extending Thesauri Using Word Embeddings and the Intersection Method
  Jörg Landthaler, Bernhard Waltl, Dominik Huth, Daniel Braun, Christoph Stocker, Thomas Geiger, Florian Matthes
- An Analysis of Topic Modelling for Legislative Texts
  James O’ Neill, Cécile Robin, Leona O’ Brien, Paul Buitelaar

### Session 4: Semantics and Default Logic

- Semantic Types for Decomposing Evidence Assessment in Decisions on Veterans’ Disability Claims for PTSD
  Vern R. Walker, Ashtyn Hemendinger, Nneka Okpara, Tauseef Ahmed
- Towards Formalizing Statute Law as Default Logic through Automatic Semantic Parsing
  Marcos Pertierra, Sarah Lawsky, Erik Hemberg, Una-May O’Reilly

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|