Previous approaches use taskspecific information, by either relying on a (word-pair, connectives) matrix rather than the standard (word, context) matrix (Turney and Littman, 2005;Turney, 2006), or by treating analogy detection as a supervised learning task (Baroni and Lenci, 2009;Jurgens et al., 2012;Turney, 2013).
the vector arithmetic approach followed here is unsupervised, and works on a generic single-word representation.