Constituency Parsing with a Self-Attentive Encoder
Table 6: Comparison of F1 scores on the WSJ test set.
['[EMPTY]', 'LR', 'LP', 'F1']
The test score of 93.55 F1 for our CharLSTM parser exceeds the previous best numbers for single-system parsers trained on the Penn Treebank (without the use of any external data, such as pre-trained word embeddings). When our parser is augmented with ELMo word representations, it achieves a new state-of-the-art score of 95.13 F1 on the WSJ test set.