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There is perhaps no greater contributor to the success of modern Natural Language Processing (NLP) technology than vector representations of language. The meteoric rise of NLP was ignited with the introduction of word2vec in 2013 [1].
This is a companion discussion topic for the original entry at https://www.pinecone.io/learn/dense-vector-embeddings-nlp