We note that while various methods in the literature were initially presented as fully supervised (Mikolov et al., 2013), semi-supervised (using a seed dictionary) (Haghighi et al., 2008), or unsupervised (Zhang et al., 2017b), most of them can be straightforwardly adapted to run in any of these settings.
we evaluate all methods both in the unsupervised setting in which we are primarily interested, and also the commonly evaluated semi-supervised setting with 500 seed pairs.