(2015) who also provide a useful overview of hyper parameters in each of the discussed methods.
this led us to run 500-dimensional SVD-embeddings with a context-window of   (Velikovich et al., 2010) with context-distribution smoothing and eigenvalue weighting (Levy et al., 2015).