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TULSI: an NLP system for extracting legal modificatory provisions

TULSI: an NLP system for extracting legal modificatory provisions 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Intelligence and Law Springer Journals

TULSI: an NLP system for extracting legal modificatory provisions

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Publisher
Springer Journals
Copyright
Copyright © 2012 by Springer Science+Business Media B.V.
Subject
Computer Science; Artificial Intelligence (incl. Robotics); Legal Aspects of Computing; Philosophy of Law; Computational Linguistics; Law of the Sea, Air and Outer Space
ISSN
0924-8463
eISSN
1572-8382
DOI
10.1007/s10506-012-9127-6
Publisher site
See Article on Publisher Site

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.

Journal

Artificial Intelligence and LawSpringer Journals

Published: Aug 9, 2012

References