Paper Info
Title
Automatic Classification and Analysis of Provisions in Italian Legal Texts: A Case Study
Abstract
In this paper we address the problem of automatically enriching legal texts with semantic annotation, an essential pre-requisite to effective indexing and retrieval of legal documents. This is done through illustration of SALEM (Semantic Annotation for LEgal Management), a computational system developed for automated semantic annotation of (Italian) law texts. SALEM is an incremental system using Natural Language Processing techniques to perform two tasks: i) classify law paragraphs according to their regulatory content, and ii) extract relevant text fragments corresponding to specific semantic roles that are relevant for the different types of regulatory content. The paper sketches the overall architecture of SALEM and reports results of a preliminary case study on a sample of Italian law texts.
Year
DOI
Venue
2004
10.1007/978-3-540-30470-8_72
LECTURE NOTES IN COMPUTER SCIENCE
Keywords
Field
DocType
natural language processing
Annotation,Computer science,Search engine indexing,Natural language,Artificial intelligence,Natural language processing,Content management,Document retrieval,Semantic role labeling,Semantics,The Internet
Conference
Volume
ISSN
Citations 
3292
0302-9743
16
PageRank 
References 
Authors
1.38
3
5
Name
Order
Citations
PageRank
Roberto Bartolini1374.64
Alessandro Lenci263361.92
Simonetta Montemagni325533.40
Vito Pirrelli411822.64
Claudia Soria56910.08