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a guest Jun 14th, 2018 44 Never
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  1. 2.3 word embeddings
  2.     (1) analogies using word vectors  
  3.       Example: man to woman is king to ? queen!  
  4.       However, these analogies are more likely to exist in the original space (300-dimension).    
  5.       After **t-SNE**, which is highly nonlinear mapping to **2D** space, these analogies usually don't hold.
  6.    
  7. 2.5 word2vec
  8.     (1) skip-gram model
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