  Abbreviation is a method of word formation that aims to construct the
shortened term from the first letters of the initial phrase. Implicit
abbreviations frequently cause the comprehension difficulties for unprepared
readers. In this paper, we propose an efficient ML-based algorithm which allows
to identify the abbreviations in Russian texts. The method achieves ROC AUC
score 0.926 and F1 score 0.706 which are confirmed as competitive in comparison
with the baselines. Along with the pipeline, we also establish first to our
knowledge Russian dataset that is relevant for the desired task.

Computation and Language