What 2013 technique by Mikolov et al. uses a shallow neural network to create dense vector representations of words?

Word2Vec

Word2Vec uses Skip-gram or CBOW architectures to learn word embeddings that capture semantic relationships, such that operations like 'King - Man + Woman' result in a vector close to 'Queen.' It revolutionized how NLP models handle vocabulary.