Supervised computational systems can be trained to mark up the AZ structure of a text automatically (see Section 2); the output of such systems has been shown to aid summarisation and human browsing of the scientific literature (Teufel and Moens, 2002;Guo et al., 2011a;Contractor et al., 2012).
supervised systems require manually annotated training data that must be created anew for each discipline (and language) before they can be deployed, while large quantities of unannotated text are often available.