  This paper describes the results of the first shared task on taxonomy
enrichment for the Russian language. The participants were asked to extend an
existing taxonomy with previously unseen words: for each new word their systems
should provide a ranked list of possible (candidate) hypernyms. In comparison
to the previous tasks for other languages, our competition has a more realistic
task setting: new words were provided without definitions. Instead, we provided
a textual corpus where these new terms occurred. For this evaluation campaign,
we developed a new evaluation dataset based on unpublished RuWordNet data. The
shared task features two tracks: "nouns" and "verbs". 16 teams participated in
the task demonstrating high results with more than half of them outperforming
the provided baseline.
