Many digital libraries recommend literature to their users considering the similarity between
a query document and their repository. However, they often fail to distinguish what is the …

Producing written texts is a non-linear process: in contrast to speech, writers are free to
change already written text at any place at any point in time. Linguistic considerations are …

To cope with the ever-growing information overload, an increasing number of digital libraries
employ content-based recommender systems. These systems traditionally recommend …

Semantic Storytelling describes the goal to automatically and semi-automatically generate
stories based on extracted, processed, classified and annotated information from large …

Semantic Storytelling is the (semi)-automatic generation of new content (storylines) based
on information extracted from document collections presented with helpful visualisation …

In the past we experimented with variations of an approach we call semantic storytelling, in
which we use multiple text analytics components including named entity recognition and …

We work on the creation of a corpus, crawled from the internet, on the Berlin district of
Moabit, primarily meant for training NER systems in German and English. Typical NER …

We explore if an efficient RST parser achieves as good results with a register-balanced data
set as with register-specific data of the training and test phase. In this paper, we present the …