Noting that the work (Zhao and Kit, 2008) and (Zhao et al., 2013) are similar to ours in modeling the dependency-based SRL tasks as word pair classification, and that they successfully incorporate the syntactic information by applying argument candidate pruning, we further perform empirical study to explore whether employing such pruning method enhance or hinder our model.
we use the automatically predicted parse with moderate performance provided by CoNLL-2009 shared task, with the LAS score about 86%.