Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies
Table 5: Evaluation of our parser when not using lemma embeddings (for a more direct comparison with Freda3), on in-domain test datasets. ‡ of +RL models represents that the scores are statistically significant at p<10−3 with their non-RL counterparts.
['Model', 'DM', 'PAS', 'PSD', 'Avg.']
We see that our model is still better on average and achieves better performance on all three formalisms. We also notice that the lemma information does not improve the performance in the PAS formalism.