To evaluate the effectiveness of our proposed Doc2EDAG, we conduct experiments on a realworld dataset, consisting of large scales of financial announcements.
as Table 3 shows, Doc2EDaG achieves significant improvements over all base- -PathMem -11.2 -0.2 -10.1 -16.3 -10.9 -9.7 -SchSamp -5.3 -4.8 -5.3 -6.6 -3.0 -5.0 -DocEnc -4.7 -1.5 -1.6 -1.1 -1.5 -2.1 -NegCW -1.4 -0.4 -0.7 -1.3 -0.4 -0.8 Table 5: Performance differences of Doc2EDaG variants for all event types and the averaged ones (avg.).