We evaluated our approach on six documents that were randomly picked from the documents of DROC <ref xmlns="http://www.tei-c.org/ns/1.0" n="1" target="ftn0" /> (Krug et al., 2018) for which we have summaries: <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">Die Hosen des Herrn von Bredow </hi>by Willibald Alexis, <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">Stilpe </hi>by Otto-Julius Bierbaum, <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">Der Stechlin </hi>by Theodor Fontane, <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">Amerika </hi>by Franz Kafka, <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">Anna Karenina </hi>by Lev-Nikolaevic Tolstoj and <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">Uli der Pächter </hi>by Jeremias Gotthelf. For each of these documents, two annotators, who were unfamiliar with the texts, separately created a document for userspecified knowledge by first reading the corresponding summary and then skimming the actual document. The time required for the creation of the meta data was between 5 to 15 minutes per file. Table 1 shows some characteristics of this user-specified knowledge: the number of characters, the total number of synonyms, the total number of relations and the total number of relation labels.