Reference : NLP Challenges for Eunomos, a Tool to Build and Manage Legal Knowledge
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/15383
NLP Challenges for Eunomos, a Tool to Build and Manage Legal Knowledge
English
Boella, Guido [Universita di Torino, Italy]
di Caro, Luigi [Universita di Torino, Italy]
Humphreys, Llio mailto [Universita di Torino, Italy]
Robaldo, Livio [Universita di Torino, Italy]
van der Torre, Leon mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
2012
Language Resources and Evaluation (LREC)
European Language Resources Association (ELRA)
3672-3678
Yes
International
978-2-9517408-7-7
Language Resources and Evaluation (LREC)
23-25 May
Istanbul
Turkey
[en] ontology ; legislative XML ; classification ; pattern matching ; information extraction
[en] In this paper, we describe how NLP can semi-automate the construction and analysis of knowledge in Eunomos, a legal knowledge management service which enables users to view legislation from various sources and ?nd the right de?nitions and explanations of legal concepts in a given context. NLP can semi-automate some routine tasks currently performed by knowledge engineers, such as classifying norms, or linking key terms within legislation to ontological concepts. This helps overcome the resource bottleneck problem of creating specialist knowledge management systems. While accuracy is of the utmost importance in the legal domain, and the information should be veri?ed by domain experts as a matter of course, a semi-automated approach can result in considerable ef?ciency gains.
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/10993/15383
http://www.lrec-conf.org/proceedings/lrec2012/pdf/1035_Paper.pdf
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC '12)

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