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

Lex2vec: making Explainable Word Embeddings via Lexical Resources