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DIREGA – Building Decision Support for German Register Law1
Axel Adrian, Osman Anil Basaran, Nathan Dykes, Stephanie Evert, Michael Gritz, Merlin Humml, Michael Kohlhase, Johannes Lindner, Andreas Maier, Stephan Prettner, Max Rapp, Lutz Schröder, Verena Stürmer
The interdisciplinary project DIREGA aims to analyse the joint application of linguistic, symbolic, and sub-symbolic AI techniques to German register law. This analysis is based on a dataset consisting of all past applications, related documents, and decisions of German register courts in the Free State of Bavaria. Corpus queries and sub-symbolic AI methods will be used for information extraction which then instantiate facts for the symbolic reasoning pipeline based on a manual formalization of the relevant laws. The goal is to build a prototypical implementation checking register applications and providing a detailed explanation for acceptance (or rejection) to aid legal professionals such as notaries in drafting and reviewing such documents.
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