TULSI: an NLP system for extracting legal modificatory provisions

Authors: Lesmo, Leonardo1; Mazzei, Alessandro2; Palmirani, Monica3; Radicioni, Daniele4

Source: Artificial Intelligence and Law, Volume 21, Number 2, May 2013 , pp. 139-172(34)

Publisher: Springer

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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.

Keywords: Information extraction; Law; Natural language processing; Semantic interpretation

Document Type: Research Article

DOI: http://dx.doi.org/10.1007/s10506-012-9127-6

Affiliations: 1: Dipartimento di Informatica, Università di Torino, Torino, Italy, Email: lesmo@di.unito.it 2: Dipartimento di Informatica, Università di Torino, Torino, Italy, Email: mazzei@di.unito.it 3: CIRSFID, Università di Bologna, Bologna, Italy, Email: monica.palmirani@unibo.it 4: Dipartimento di Informatica, Università di Torino, Torino, Italy, Email: radicion@di.unito.it

Publication date: May 1, 2013

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