Robust Incremental Neural Semantic Graph Parsing
Table 5: Development set results for AMR parsing. All the models except the first predict alignments with pointer networks.
['Model', 'Concept F1', 'Smatch']
We apply the same approach to AMR parsing. The arc-eager-based models again give better performance, mainly due to improved concept prediction accuracy. However, concept prediction remains the most important weakness of the model; \newciteDamonteCS16 reports that state-of-the-art AMR parsers score 83% on concept prediction.