The paper is devoted to analysis of methods that can be used for automatic generation of specialized thesauri. The authors developed a test bench that allows to estimate most popular methods for relation extraction that constitute the main part of such generation. On the basis of experiments conducted on the test bench the idea of hybrid thesaurus generation methods that combine the algorithms showed the best performance was proposed. Its efficiency was illustrated by creation of the thesaurus for the medical domain with its subsequent estimation on the test bench.