| Title | Semantic Mark-up of Italian Legal Texts Through NLP-based Techniques |
| Author(s) |
Roberto Bartolini (1), Alessandro Lenci (2), Simonetta Montemagni (1), Vito Pirrelli (1), Claudia Soria (1)
(1) Istituto di Linguistica Computazionale – CNR. Area della Ricerca, via G. Moruzzi 1, 56100 Pisa, Italy; (2) Università di Pisa, Dipartimento di Linguistica. Via Santa Maria, 36, 56100 Pisa, Italy |
| Session | O20-W |
| Abstract | In this paper we illustrate an approach to information extraction from legal texts using SALEM. SALEM is an NLP architecture for semantic annotation and indexing of Italian legislative texts, developed by ILC in close collaboration with ITTIG-CNR, Florence. Results of SALEM performance on a test sample of about 500 Italian law paragraphs are provided. |
| Keyword(s) | Semantic mark-up, information extraction, ontologies |
| Language(s) | Italian |
| Full Paper | 709.pdf |