There has recently been a surge of interest for deep learning in natural language processing.
neural network language models (NNLMs) have been used to learn distributional word vectors (Bengio et al., 2003;Schwenk, 2007;Mikolov et al., 2010): the models jointly learn an embedding of words into an n-dimensional feature space.