  The problem of word sense disambiguation (WSD) is considered in the article.
Given a set of synonyms (synsets) and sentences with these synonyms. It is
necessary to select the meaning of the word in the sentence automatically. 1285
sentences were tagged by experts, namely, one of the dictionary meanings was
selected by experts for target words. To solve the WSD-problem, an algorithm
based on a new method of vector-word contexts proximity calculation is
proposed. In order to achieve higher accuracy, a preliminary epsilon-filtering
of words is performed, both in the sentence and in the set of synonyms. An
extensive program of experiments was carried out. Four algorithms are
implemented, including a new algorithm. Experiments have shown that in a number
of cases the new algorithm shows better results. The developed software and the
tagged corpus have an open license and are available online. Wiktionary and
Wikisource are used. A brief description of this work can be viewed in slides
(https://goo.gl/9ak6Gt). Video lecture in Russian on this research is available
online (https://youtu.be/-DLmRkepf58).
