The main advantage of the proposed approach is that it is mainly data-driven and requires only minimally annotated corpus for training whilst retaining the understanding robustness and deepness for spoken language.
the two classifiers are trained using weakly supervised strategies: the former one is trained through the combination of active learning and self-training (Tur et al., 2005), and the latter one is trained using a practical bootstrapping technique.