Marc Schreiber¹, Kai Barkschat¹, Bodo Kraft¹ and Albert Zundorf², ¹University of Applied Sciences, Germany and ²University of Kassel, Germany

More and more domain specific applications in the internet make use of Natural Language Processing (NLP) tools (e. g. Information Extraction systems). The output quality of these applications relies on the output quality of the used NLP tools. Often, the quality can be increased by annotating a domain specific corpus. However, annotating a corpus is a time consuming and exhaustive task. To reduce the an

Natural Language Processing, Language Resources, Annotated Corpora, Annotation Layers, Annotation Speed, Graphical User Interface