Traditional shallow semantic parsing systems for chunk analysis (Kudoh and Matsumoto, 2001;Zhan etal., 2002), which employ machine learning method, focus on the selection of features and their variety combinations to train a statistical model (Carreras and Marquez, 2005).
we usually have no idea of what a good model is like, neither do we know which features to select.