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.

TULSI: an NLP System for Extracting Legal Modificatory Provisions

LESMO, Leonardo;MAZZEI, Alessandro;RADICIONI, DANIELE PAOLO
2013-01-01

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.
2013
12(4)
1
34
http://www.springerlink.com/content/mx4u5168436601k8/
automatic annotation of normative documents; NLP; Information Extraction
Leonardo Lesmo; Alessandro Mazzei; Monica Palmirani; Daniele Paolo Radicioni
File in questo prodotto:
File Dimensione Formato  
lesmo12tulsi.pdf

Accesso riservato

Tipo di file: PDF EDITORIALE
Dimensione 1.11 MB
Formato Adobe PDF
1.11 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/117453
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 19
  • ???jsp.display-item.citation.isi??? ND
social impact