7 Conclusion<cite> (Fernández et al., 2008)</cite> described an approach to decision detection in multi-party meetings and demonstrated how it could work relatively well in an off-line system. The approach has two defining characteristics. The first is its use of an annotation scheme which distinguishes between different utterance types based on the roles which they play in the decision-making process. The second is its use of hierarchical classification, whereby binary sub-classifiers detect instances of each of the decision DAs (DDAs), and then based on the sub-classifier hypotheses, a super-classifier determines which regions of dialogue are decision discussions.