Abstract. Information Extraction, the process of eliciting data from natural language documents, usually relies on the ability to parse the document and then to detect the meaning ...
iary models in order to bridge the semantic gap between high-level, abstract user requirements and low-level, concrete programs and to support a stepwise refinement process. This d...
We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...
: In this paper, we discuss adjustable coverage criteria and their combinations in model-based testing. We formalize coverage criteria and specify test goals using OCL. Then, we pr...
Mario Friske, Bernd-Holger Schlingloff, Stephan We...
: Sufficiently high data quality is crucial for almost every application. Nonetheless, data quality issues are nearly omnipresent. The reasons for poor quality cannot simply be bla...