Results indicate that high-quality syntax can further improve model performance, showing syntactic information is generally effective for multilingual SRL.
based on gold syntax, the top-1 argument pruning for Catalan and Spanish has reached 100 percent coverage (namely, for Catalan and Spanish, all arguments are the children of predicates in gold dependency syntax tree), and hence our syntax-aware model obtains significant gains of 1.43% and 1.35%, respectively.