We can see that MOGANED achieves 1.6% and 1.7% improvement on precision and F 1 -measure, respectively, compared with the best baselines.
(2016)) only use the given sentences, which suffer from the low efficiency problem in capturing long-range dependency; dependency tree based methods utilize the syntactic relations (i.e., arcs) in the dependency tree of a given sentence to more effectively capture the interrelation between each candidate trigger word and its related entities or other triggers.