Long-range dependencies often pose problems for SRL models; in fact, special networks like GCN  and PathLSTM (Roth and Lapata, 2016) have been proposed to explicitly percolate information from each word in the sentence to its syntactic neighbors.
the semantic role predictor consists of: • a word representation component that encapsulates predicate-specific dependency information; • a J-layer BiLStM encoder that takes as input the representation of each word in a sentence; • a classifier that takes as input the BiLStM representations of predicates and their arguments and assigns semantic roles to the latter.