This word representation with NLM has been used to good effect, for example in (Turian et al., 2010;Collobert et al., 2011;Huang et al., 2012) where induced word representations are used with sophisticated features to improve performance in various NLP tasks.
we first represent the word sequence as a vector where w i is i th word in the sequence, m is the window size, d(w) is the vector representation of word w (an n-dimensional column vector) and is the concatenation of word vectors as an input of neural network.