Although it might appear that our classifier has access to the unlabelled test data sequences while learning, it rather is the case that we resemble an online setting where we continuously update our unsupervised features using the new batch of unlabelled test data, and then retrain our model on the original training data (Blum, 1998; Blum & Mitchell, 1998; Carlson et al., 2010; Chapelle et al., 2009; Liang, 2005; <cite>Turian et al., 2010</cite>; Zhu & Goldberg, 2009) .