Typical aspects that impact system performance such as domain variability, combinations of different resources, and the use of unsupervised approaches are also illustrated.
this chapter may still be considered incomplete as some architectures exploiting advanced machine learning techniques, for example, kernel methods (Moschitti 2004), are not reported.