  Lexical Semantic Change detection, i.e., the task of identifying words that
change meaning over time, is a very active research area, with applications in
NLP, lexicography, and linguistics. Evaluation is currently the most pressing
problem in Lexical Semantic Change detection, as no gold standards are
available to the community, which hinders progress. We present the results of
the first shared task that addresses this gap by providing researchers with an
evaluation framework and manually annotated, high-quality datasets for English,
German, Latin, and Swedish. 33 teams submitted 186 systems, which were
evaluated on two subtasks.
