We further used as features the cosine similarity between question embeddings.
we used (i) 300-dimensional pre-trained Google News embeddings from (Mikolov et al., 2013), (ii) 100dimensional embeddings trained on the entire Qatar Living forum (Mihaylov and Nakov, 2016), and (iii) 25-dimensional Stanford neural parser embeddings (Socher et al., 2013).