Summary of the paper

Title NLP Challenges for Eunomos a Tool to Build and Manage Legal Knowledge
Authors Guido Boella, Luigi di Caro, Llio Humphreys, Livio Robaldo and Leon 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 norm, 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.
Topics Ontologies, Information Extraction, Information Retrieval, Document Classification, Text categorisation
Full paper NLP Challenges for Eunomos a Tool to Build and Manage Legal Knowledge
Bibtex @InProceedings{BOELLA12.1035,
  author = {Guido Boella and Luigi di Caro and Llio Humphreys and Livio Robaldo and Leon van der Torre},
  title = {NLP Challenges for Eunomos a Tool to Build and Manage Legal Knowledge},
  booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
  year = {2012},
  month = {may},
  date = {23-25},
  address = {Istanbul, Turkey},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-7-7},
  language = {english}
 }
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