A combination of UML and text mining, or more in general Information Extraction, can provide a valuable help to people involved in research about the linguistic structure of statutes, and, as a side effect, can be the seed for a new generation of applications in the legal domain. In particular, in this paper we present LexLooter, a prototype for amendments modelling and legislative text coordination based on UML and Natural Language Processing.
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