  Recently, semantic role labeling (SRL) has earned a series of success with
even higher performance improvements, which can be mainly attributed to
syntactic integration and enhanced word representation. However, most of these
efforts focus on English, while SRL on multiple languages more than English has
received relatively little attention so that is kept underdevelopment. Thus
this paper intends to fill the gap on multilingual SRL with special focus on
the impact of syntax and contextualized word representation. Unlike existing
work, we propose a novel method guided by syntactic rule to prune arguments,
which enables us to integrate syntax into multilingual SRL model simply and
effectively. We present a unified SRL model designed for multiple languages
together with the proposed uniform syntax enhancement. Our model achieves new
state-of-the-art results on the CoNLL-2009 benchmarks of all seven languages.
Besides, we pose a discussion on the syntactic role among different languages
and verify the effectiveness of deep enhanced representation for multilingual
SRL.
