The bi-annual meeting of the German Society for Computational Linguistics
and Language Technology (GSCL) in 2015 will take place from September 30
to October 2 at the University of Duisburg-Essen.

The main conference theme is “Deep vs. shallow?”.

Currently, computational linguistics as a field seems to split in two
camps: Those interested in ‘deep’, explanatory, potentially even
cognitively motivated models and those interested in harnessing the power
of emerging big data collections to solve practical problems efficiently.
While the first camp often fights with a lack of coverage of the intended
phenomena, the second camp is occasionally criticized as naively counting
the contents of bags of words.

Of course, the conference theme is designed to provoke contradiction:
Isn’t the goal ultimately a synthesis of both approaches that allows
linguistic theory to use ‘big data’ efficiently and allows broad coverage

The main goal of this workshop is bringing together publishers, companies and researchers from different fields (among which Document and Knowledge Engineering, Semantic Web, Natural Language Processing, Scholarly Communication, Bibliometrics, and Human-Computer Interaction) in order to bridge the gap between the theoretical/academic and practical/industrial aspects in regards to scholarly data.

The following topics will be addressed:

• semantics of scholarly data, i.e. how to semantically represent, categorize, connect and integrate scholarly data, in order to foster reusability and knowledge sharing;