Factorising AMR generation through syntax
Table 3: BLEU results for generation.
['Model', 'Dev BLEU', 'Test BLEU']
As a baseline, we train a straight AMR-to-text model with the same architecture as above to control for the extra regularisation in our model compared to previous work. Our results show that adding syntax into the model dramatically boosts performance, resulting in state-of-the-art single model performance on both datasets without using external training data.