Lesmo, Mazzei, Palmirani, and Radicioni on an NLP System for Extracting Legal Modificatory Provisions

Professor Dr. Monica Palmirani of Università di Bologna Dipartimento di Scienze Giuridiche «Antonio Cicu» and CIRSFID, and Professor Dr. Leonardo Lesmo, Dr. Alessandro Mazzei, and Dr. Daniele P. Radicioni, all of Universita’ di Torino Dipartimento di Informatica, have published TULSI: an NLP system for extracting legal modificatory provisions, forthcoming in Artificial Intelligence and Law.

Here is the abstract:

In this work we present the TULSI system (so named after Turin University Legal Semantic Interpreter), a system to produce automatic annotations of normative documents through the extraction of modificatory provisions. TULSI relies on a deep syntactic analysis and a shallow semantic interpreter that are illustrated in detail. We report the results of an experimental evaluation of the system and discuss them, also suggesting future directions for further improvement.

Wyner: A Series of Posts on Legal Information Annotation & Extraction with GATE

Dr. Adam Wyner of the University College London Department of Computer Science has published a series of posts on legal information annotation and extraction, using GATE: The General Architecture for Text Engineering, on his blog, Language Logic Law Software.

The content of these posts was presented in Dr. Wyner’s tutorial at JURIX 2009, the slides of which are available here.