Our approach has some similarities with (Han et al., 2012) since both approaches utilize a normaliza-tion lexicon acquired form unlabeled data using distributional and string similarities.
our approach is significantly different since we acquire the lexicon using random walks on a contextual similarity graph which has a number of advantages over the pairwise similarity approach used in (Han et al., 2012).