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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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We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.