def load_subspace_vectors(embd, subspace_words):
  """Loads all word vectors for the particular subspace in the list of words as a matrix
  Arguments
           embd : Dictonary of word-to-embedding for all words
           subspace_words : List of words representing a particular subspace
  Returns
          subspace_embd_mat : Matrix of word vectors stored row-wise
  """
  subspace_embd_mat = []
  ind = 0
  for word in subspace_words:
    if word in embd:
      subspace_embd_mat.append(embd[word])
      ind = ind+1
      
  return subspace_embd_mat