  Recent NLP architectures have illustrated in various ways how semantic change
can be captured across time and domains. However, in terms of evaluation there
is a lack of benchmarks to compare the performance of these systems against
each other. We present the results of the first shared task on unsupervised
lexical semantic change detection (LSCD) in German based on the evaluation
framework proposed by Schlechtweg et al. (2019).
