Most traditional SRL methods rely heavily on feature templates that struggle to capture sufficient discriminative information, while neural models are capable of extracting features automatically.
recent works (Zhou and Xu, 2015;He et al., 2017; propose syntax-agnostic models for SRL and achieve favorable results, which seems to be in conflict with the belief that syntactic information is an absolutely necessary prerequisite for high-performance SRL (Gildea and Palmer, 2002).