Efficient Constituency Parsing by Pointing
Table 1: Results for single models (no pre-training) on the PTB WSJ test set, Section 23.
['[BOLD] Model', 'LR', 'LP', 'F1']
As it can be seen, our model achieves an F1 of 92.78, the highest among the models using top-down inference strategies. Specifically, our method outperforms minimal-span-based-parsing and shen-etal-2018-straight by about 1.0 point in F1-score. Notably, our model with LSTM encoder achieves an F1 of 92.26, which is still better than all the top-down parser methods.