For all the candidate arguments, we simplify the representations by employing the mean operation over the BiLSTM outputs within the corresponding argument spans, which achieves similar results compared with the attention-based span representations (He et al., 2018a) on English SRL in our preliminary experiments.
formally, for word-based SRL, we only need to set the length of candidate arguments to be 1.