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NLP-based Ontology Learning from Legal Texts. A Case Study.

, , , and . LOAIT, volume 321 of CEUR Workshop Proceedings, page 113-129. CEUR-WS.org, (2007)

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Building an ontological support for multilingual legislative drafting., , , , , , and . JURIX, volume 165 of Frontiers in Artificial Intelligence and Applications, page 9-18. IOS Press, (2007)Building a Bio-Event Annotated Corpus for the Acquisition of Semantic Frames from Biomedical Corpora., , , , , , and . LREC, European Language Resources Association, (2008)Design and Annotation of the First Italian Corpus for Text Simplification., , , and . LAW@NAACL-HLT, page 31-41. The Association for Computer Linguistics, (2015)What Makes My Model Perplexed? A Linguistic Investigation on Neural Language Models Perplexity., , , and . DeeLIO@NAACL-HLT, page 40-47. Association for Computational Linguistics, (2021)Extracting Dependency Relations from Digital Learning Content., , , , and . IRCDL, volume 806 of Communications in Computer and Information Science, page 114-119. Springer, (2018)Probing Tasks Under Pressure., , , , and . CLiC-it, volume 3033 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Italian in the Trenches: Linguistic Annotation and Analysis of Texts of the Great War., , , , and . CLiC-it, volume 2253 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)A two-level knowledge approach to support multilingual legislative drafting., , , , , and . Law, Ontologies and the Semantic Web, volume 188 of Frontiers in Artificial Intelligence and Applications, page 177-198. IOS Press, (2009)T2K^2: a System for Automatically Extracting and Organizing Knowledge from Texts., , , and . LREC, page 2062-2070. European Language Resources Association (ELRA), (2014)The BioLexicon: a large-scale terminological resource for biomedical text mining., , , , , , , , , and 5 other author(s). BMC Bioinform., (2011)