For supertagging, we observe that the baseline cross entropy trained model improves its predictions with beam search decoding compared to greedy decoding by 2 accuracy points, which suggests that beam search is already helpful for this task, even without search-aware training. 
 Question: By how much do they outperform basic greedy and cross-entropy beam decoding?
2 accuracy points