Coreference resolution is recognized as an important task in natural text processing and it has been proven that knowledge of semantic relations between two possibly coreferent entities can provide a certain increase in quality for automated solutions. One of the ways to integrate semantic information in such a system is to measure semantic relatedness between candidates for establishing coreference relation. This research is devoted to evaluating the efficiency of different types of semantic relatedness metrics, calculated from different sources, for coreference resolution on the material of Russian language.