Moreover, as syntactic parsers are not reliable when used out-of-domain, standard (i.e., syntactically-informed) dependency SRL models are crippled when applied to such data.
our syntax-agnostic model appears to be considerably more robust: we achieve the best result so far on the English and Czech out-of-domain test set (77.7% and 87.2% F 1 , respectively).