NLP Challenges for Eunomos, a Tool to Build and Manage Legal Knowledge (bibtex)
by Guido Boella, Luigi di Caro, Llio Humphreys, Livio Robaldo, Leendert van der Torre
Abstract:
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 find the right definitions 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 verified by domain experts as a matter of course, a semi-automated approach can result in considerable efficiency gains.
Reference:
NLP Challenges for Eunomos, a Tool to Build and Manage Legal Knowledge (Guido Boella, Luigi di Caro, Llio Humphreys, Livio Robaldo, Leendert van der Torre), In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC '12), European Language Resources Association (ELRA), 2012.
Bibtex Entry:
@InProceedings{Boella2012d,
  Title                    = {NLP Challenges for Eunomos, a Tool to Build and Manage Legal Knowledge},
  Author                   = {Boella, Guido and di Caro, Luigi and Humphreys, Llio and Robaldo, Livio and van der Torre, Leendert},
  Booktitle                = {Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC '12)},
  Year                     = {2012},
  Pages                    = {3672-3678},
  Publisher                = {European Language Resources Association (ELRA)},

  __markedentry            = {[diego.ambrossio:6]},
  Abstract                 = {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 find the right definitions 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 verified by domain experts as a matter of course, a semi-automated approach can result in considerable efficiency gains.},
  Date-added               = {2013-01-10 19:09:45 +0100},
  Date-modified            = {2013-01-10 19:09:49 +0100},
  ISBN                     = {978-2-9517408-7-7},
  Keywords                 = {ontology, legislative XML, classification, pattern matching, information extraction},
  Language                 = {English},
  Timestamp                = {2013.07.26}
}
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