1. Introduction - 2. Background and Motivation - 3. The Term Extraction Approach - 4. Experiments and Results - 5. Evaluation - 5.1. General Evaluation Criteria - 5.2. Discussion of Results - 6. Conclusio

Bonin, Francesca

Dell\u27Orletta, Felice

Montemagni, Simonetta

Venturi, Giulia

Ontology learning in the legal domain rises the well-known problem of epistemological promiscuity between legal entities and regulated domain instances. In this paper, we propose a new term extraction approach specifically aimed at tackling such a problem through the acquisition of a term glossary where legal terms, expressing legal concepts, and domain terms, providing a description of the regulated world knowledge, are automatically singled out. The proposed approach has been tested with promising results on a corpus of Italian European legal texts regulating the environmental domain

Simonetta, Montemagni

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Singling out Legal Knowledge from World Knowledge. An NLP-based approach

Singling out Legal Knowledge from World Knowledge. An NLP-based Approach

http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-605/paper4.pdf

Singling out Legal Knowledge from World Knowledge. An NLP-based Approach

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