Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
Table 3: BLEU results for AMR Generation. *Model has been trained on a previous release of the corpus (LDC2014T12).
['Model', 'Dev', 'Test']
We outperform all previous state-of-the-art systems by the first round of self-training and further improve with the next rounds. Our final model trained on Giga-20M outperforms TSP and TreeToStr trained on LDC2015E86, by over 9 BLEU points. We leave scaling our models to all of Gigaword for future work.