Which 2013 neural word embedding model introduced the Skip-gram and Continuous Bag-of-Words (CBOW) architectures?

Word2Vec

Created by Tomas Mikolov and his team at Google, Word2Vec allowed for the represention of words in a high-dimensional vector space. It demonstrated that semantic relationships (like 'King - Man + Woman = Queen') could be captured through vector arithmetic.