Claudia Wenzel

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The task to be solved within our core research was the design and development of a document analysis toolbox covering typical document analysis tasks such as document understanding, information extraction and text recognition. In order to prove the feasibility of our concepts, we have developed the prototypical analysis system OfficeMAID. The system(More)
Knowledge-based systems for document analysis and understanding are quite useful whenever analysis has to deal with varying free-form document types which require distinct analysis components. In such a case, declarative modeling is a good way to achieve flexibility. An important application domain for such systems is the business letter domain. Here, high(More)
OBJECTIVE Aripiprazole is an atypical neuroleptic with agonistic and antagonistic dopaminergic and serotonergic effects. Because preliminary data obtained from uncontrolled studies suggest that aripiprazole may be effective in the treatment of tics, we performed a retrospective study with a large group of patients with Tourette syndrome. METHODS One(More)
This paper presents a complex approach for the content-based text categorization of printed German business letters into pre-defined message types such as order, invoice, offer, etc. The categorization results of two competing classifiers are combined by means of a voting component embodying knowledge about the strengths and weaknesses of the classifiers.(More)
Computer-based corporate memories aim to enable an efficient use of corporate knowledge. Therefore, such systems demand a formal representation of the knowledge itself and of its meta-aspects, i. e., how to use corporate knowledge effectively. Since typical information sources are continuous text and paper-based documents they initially need to be(More)