title: How does word2vec give one hot word vector from the embedding vector?
body: <p>I understand how word2vec works.</p>
  
  <p>I want to use word2vec(skip-gram) as input for RNN. Input is embedding word vector. Output is also embedding word vector generated by RNN.</p>
  
  <p>Here’s question! How can I convert the output vector to one hot word vector? I need inverse matrix of embeddings but I don’t have!</p>