The underlying learning algorithm has shown the effectiveness on some other Natural Language Processing (NLP) tasks, such as dependency parsing and extraction of entity mentions and relations (Collins and Roark, 2004;Hatori et al., 2012;Li and Ji, 2014).
compared to these NLP tasks, the AMR parsing is more challenging in that the AMR graph is more complicated.