The sparse prior work in natural language annotations that uses BWS involves the creation of datasets for relational similarity (Jurgens et al., 2012), word-sense disambiguation (Jurgens, 2013), and word-sentiment intensity (Kiritchenko and Mohammad, 2016a).
we set up an experiment that compares BWS and RS in terms of how similar the results are on repeated independent annotations.