Artificial Intelligence and Law

, Volume 15, Issue 1, pp 1–17

Automatic Classification of Provisions in Legislative Texts

Article

DOI: 10.1007/s10506-007-9038-0

Cite this article as:
Francesconi, E. & Passerini, A. Artif Intell Law (2007) 15: 1. doi:10.1007/s10506-007-9038-0

Abstract

Legislation usually lacks a systematic organization which makes the management and the access to norms a hard problem to face. A more analytic semantic unit of reference (provision) for legislative texts was identified. A model of provisions (provisions types and their arguments) allows to describe the semantics of rules in legislative texts. It can be used to develop advanced semantic-based applications and services on legislation. In this paper an automatic bottom-up strategy to qualify existing legislative texts in terms of provision types is described.

Keywords

model of provisions Naïve Bayes classifier SVM classifier text categorization 

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Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  1. 1.ITTIG - CNR, Istituto di Teoria e Tecniche dell’Informazione Giuridica - Consiglio Nazionale delle RicercheFlorenceItaly
  2. 2.DSI - Dipartimento di Sistemi e InformaticaUniversità di FirenzeFlorenceItaly

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