Prange, JakobSchneider, Nathan2021-12-162021-12-1620212021http://dx.doi.org/10.1007/s13218-021-00712-yhttps://dl.gi.de/handle/20.500.12116/37801Adpositions and case markers are ubiquitous in natural language and express a wide range of meaning relations that can be of crucial relevance for many NLP and AI tasks. However, capturing their semantics in a comprehensive yet concise, as well as cross-linguistically applicable way has remained a challenge over the years. To address this, we adapt the largely language-agnostic SNACS framework to German, defining language-specific criteria for identifying adpositional expressions and piloting a supersense-annotated German corpus. We compare our approach with prior work on both German and multilingual adposition semantics, and discuss our empirical findings in the context of potential applications.CaseGermanLexical semanticsNatural language understandingPrepositionsText/Journal Article10.1007/s13218-021-00712-y1610-1987