Stephan Walter

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This paper discusses the use of computational linguistic technology to extract definitions from a large corpus of German court decisions. We present a corpus-based survey of definition structures used in this kind of text. We then evaluate the results of a definition extraction system that uses patterns identified in this survey to extract from dependency(More)
This research explains the melt spinning of bicomponent fibers, consisting of a conductive polypropylene (PP) core and a piezoelectric sheath (polyvinylidene fluoride). Previously analyzed piezoelectric capabilities of polyvinylidene fluoride (PVDF) are to be exploited in sensor filaments. The PP compound contains a 10 wt % carbon nanotubes (CNTs) and 2 wt(More)
This paper deals with the use of computational linguistic analysis techniques for information access and ontology learning within the legal domain. We present a rule-based approach for extracting and analysing definitions from parsed text and evaluate it on a corpus of about 6000 German court decisions. The results are applied to improve the quality of a(More)
The potential of knowledge-based technological support for work in the legal domain has become widely recognized in recent time. This paper argues for an approach that is meant to complement existing work on top-level, statute-based ontologies for the law by extracting conceptual knowledge from verdict texts. Starting from a corpus-based survey on the(More)