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The problem of word sense disambiguation (WSD) is considered in the article.Given a set of synonyms (synsets) and sentences with these synonyms. It isnecessary to select the meaning of the word in the sentence automatically. 1285sentences were tagged by experts, namely, one of the dictionary meanings wasselected by experts for target words. To solve the WSD-problem, an algorithmbased on a new method of vector-word contexts proximity calculation isproposed. In order to achieve higher accuracy, a preliminary epsilon-filteringof words is performed, both in the sentence and in the set of synonyms. Anextensive program of experiments was carried out. Four algorithms areimplemented, including a new algorithm. Experiments have shown that in a numberof cases the new algorithm shows better results. The developed software and thetagged corpus have an open license and are available online. Wiktionary andWikisource 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 availableonline (https://youtu.be/-DLmRkepf58).

WSD algorithm based on a new method of vector-word contexts proximity calculation via epsilon-filtration