Dense word vectors learned through word2vec or GloVe have many advantages over using sparse one-hot word vectors. Which of the following is a NOT advantage dense vectors have over sparse vectors?
A. Models using dense word vectors generalize better to unseen words than those using sparse vectors.
B. Models using dense word vectors generalize better to rare words than those using sparse vectors.
C. Dense word vectors encode similarity between words while sparse vectors do not.
D. Dense word vectors are easier to include as features in machine learning systems than sparse vectors.
Answer:A
Dense word vectors learned through word2vec or GloVe have many advantages over using sparse one-hot word vectors. Which of the following is a NOT advantage dense vectors have over sparse vectors?
A. Models using dense word vectors generalize better to unseen words than those using sparse vectors. B. Models using dense word vectors generalize better to rare words than those using sparse vectors. C. Dense word vectors encode similarity between words while sparse vectors do not. D. Dense word vectors are easier to include as features in machine learning systems than sparse vectors.