Word embeddings for language processing Recently many NLP systems have obtained improved performance with less human engineering by adopting distributed word representations (Socher et al., 2012a).
neural word embedding techniques are now known to be effective in capturing syntactic and semantic relationships, and more computationally efficient than many other competitors (Mikolov et al., 2013a;Pennington et al., 2014;Baroni et al., 2014).