In this work we illustrate a novel approach for solving an information extraction problem on legal texts. It is based on Natural Language Processing techniques and on the adoption of a formalization that allows coupling domain knowledge and syntactic information. The proposed approach is applied to extend an existing system to assist human annotators in handling normative modificatory provisions –that are the changes to other normative texts–. Such laws ‘versioning’ problem is a hard and relevant one. We provide a linguistic and legal analysis of a particular case of modificatory provision (the efficacy suspension), show how such knowledge can be formalized in a linguistic resource such as FrameNet, and used by the semantic interpreter.

Semantic Annotation of Legal Texts through a FrameNet-Based Approach

LESMO, Leonardo;MAZZEI, Alessandro;RADICIONI, DANIELE PAOLO
2012-01-01

Abstract

In this work we illustrate a novel approach for solving an information extraction problem on legal texts. It is based on Natural Language Processing techniques and on the adoption of a formalization that allows coupling domain knowledge and syntactic information. The proposed approach is applied to extend an existing system to assist human annotators in handling normative modificatory provisions –that are the changes to other normative texts–. Such laws ‘versioning’ problem is a hard and relevant one. We provide a linguistic and legal analysis of a particular case of modificatory provision (the efficacy suspension), show how such knowledge can be formalized in a linguistic resource such as FrameNet, and used by the semantic interpreter.
2012
AI Approaches to the Complexity of Legal Systems, Revised Selected Papers. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, LNAI 7639
Springer
7639
245
255
9783642357305
http://www.springer.com/computer/ai/book/978-3-642-35730-5
Marcello Ceci; Leonardo Lesmo; Alessandro Mazzei; Monica Palmirani; Daniele P. Radicioni
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/117691
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