ИСТИНА

In this paper we consider the taxonomy enrichment task based on a recently appeared dataset, called Diachronic wordnets, created on the basis of English and Russian wordnets. We study meta-embeddings approaches, which combine several source embeddings, to the hypernym prediction of novel words and show that meta-embedding approaches obtain the best results for this task if compared to other methods based on different principles. When combining with automatically extracted features from the Wiktionary online dictionary, the joint approach improves the results.