Focus areas: (1) Natural Language Semantics, with a focus on semantic parsing (Information Extraction / Text Analytics) and deep (discourse) semantics, (2) Data Science and Knowledge Representation, with a focus on information integration and interoperability for knowledge processing and natural language processing, (3) Artificial Intelligence and Machine Learning, with a focus on Semantic Web technologies and neural networks, and (4) Digital Humanities and Computational Philology as an important area of application for such methods, e.g., with respect to historical or low resource languages.