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German legal decisions have not yet been published as a research corpus for natural language processing or large-scale empirical research in linguistics. This poster contribution shows the work in progress of building a corpus of German legal decisions of the civil law sub-domain with a strong focus on Argumentation Mining research. This pilot study covers a small segment of a large collection of decision documents licensed under Creative Commons to explore the features of this text genre and define foundations for a two layered approach to Argumentation Mining using state-of-the-art machine learning techniques. Beside delivering a base for further research on this special text genre, an annotated corpus of German legal decisions can also help building applications for future Open Legal Data initiatives.
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