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• W93835162 abstract "The paper reports on the methodology and preliminary results of a case study in automatically extracting ontological knowledge from Italian legislative texts. We use a fully--implemented ontology learning system (T2K) that includes a battery of tools for Natural Language Processing (NLP), statistical text analysis and machine language learning. Tools are dynamically integrated to provide an incremental representation of the content of vast repositories of unstructured documents. Evaluated results, however preliminary, show the great potential of NLP--powered incremental systems like T2K for accurate large--scale semi--automatic extraction of legal ontologies." @default.
• W93835162 created "2016-06-24" @default.
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• W93835162 date "2009-07-08" @default.
• W93835162 modified "2023-09-23" @default.
• W93835162 title "Ontology learning from Italian legal texts" @default.
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• W93835162 doi "https://doi.org/10.3233/978-1-58603-942-4-75" @default.
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