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A comment on Why do we use word embeddings in NLP?. Parent comment

Re:Why do we use word embeddings in NLP? by donretag on Tuesday September 10, 2019 @10:30AM (#20928607)
For me, the marvel of word2vec is that we do not need to embedding meaning into words. The move toward semantic understanding and meaning is not essential, but this post think that a semantic representation is the next logical step.
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