Distributional models in the task of hypernym discovery

An approach to the solution of the first task of automatically taxonomy construction for the Russian language is described. This task consists in matching unknown input-words with hypernyms from the existing taxonomy. We show that useful results can be attained using pre-trained distribution models without additional training. © Springer Nature Switzerland AG 2020.