Modern neural architectures for NLP are highly effective when provided a large amount of labelled training data (Zhang et al., 2015;Conneau et al., 2017;Bowman et al., 2015).
a large labelled data set is not always readily accessible due to the high cost of expertise needed for labelling or even due to legal barriers.