  In this technical report, we propose an algorithm, called Lex2vec that
exploits lexical resources to inject information into word embeddings and name
the embedding dimensions by means of knowledge bases. We evaluate the optimal
parameters to extract a number of informative labels that is readable and has a
good coverage for the embedding dimensions.
