Titlebook: Semantic Processing of Legal Texts; Where the Language o Enrico Francesconi,Simonetta Montemagni,Daniela Ti Book 2010 Springer-Verlag Berli

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书目名称Semantic Processing of Legal Texts影响因子(影响力)




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Using Linguistic Information and Machine Learning Techniques to Identify Entities from Juridical Docniques, is described in this paper. In this approach, top-level legal concepts are identified and used for document classification using Support Vector Machines. Named entities, such as, locations, organizations, dates, and document references, are identified using semantic information from the outp

LIEN

有恶臭

Preserve

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theta-waves

调情

流利圆滑

Automated Classification of Norms in Sources of Lawisting systems use models that do not reflect the entire law, and simplify parts of the text. These models are difficult to validate, maintain and re-use. We propose to create an intermediate model that has an isomorphic representation of the structure of the original text. A first step towards auto