16 Aug 2013 Jahr - Word2Vec, a breakthrough in word embeddings (Tomas Mikolov et. al)

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Tomas Mikolov and his team at Google publish Word2Vec, a group of neural network-based algorithms that efficiently learn continuous distributed word embeddings from large-scale text corpora. Word2Vec represents words as high-dimensional vectors, capturing semantic relationships between them. This approach revolutionizes natural language processing by enabling more accurate and efficient text analysis, forming the basis for many subsequent advances in NLP and AI.

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