AMR Parsing as Sequence-to-Graph Transduction
Table 3: Fine-grained F1 scores on the AMR 2.0 test set. vN’17 is van Noord and Bos (2017b); L’18 is Lyu and Titov (2018); N’19 is Naseem et al. (2019).
['Metric', 'vN’18', 'L’18', 'N’19', 'Ours']
, we assess the quality of each subtask using the AMR-evaluation tools Damonte et al. We see a notable increase on reentrancies, which we attribute to target-side copy (based on our ablation studies in the next section). Significant increases are also shown on wikification and negation, indicating the benefits of using DBpedia Spotlight API and negation detection rules in post-processing.