To learn embeddings from the KB, we used the method adopted in the open source Wikipedia2Vec tool (Yamada et al., 2016(Yamada et al., , 2018a.
we generated an entity-annotated corpus from Wikipedia by treating entity links in Wikipedia articles as entity annotations, and trained skip-gram embeddings (Mikolov et al., 2013a,b) of 300 dimensions with negative sampling using the generated corpus as inputs.