Bidirectional Tree-Structured LSTM with Head Lexicalization
Table 7: Neural reranking results on WSJ test set.
['Model', '[ITALIC] F1']
The baseline F1 score is 90.40. Our ConTree improves the baseline model from 90.40 to 90.70. Using ConTree+Lex model can further improve the performance (90.70→90.83). This serves as an evidence that automatic heads can also be useful to some extent for a syntactic task, despite that our main motivation is more semantic-driven. Nevertheless, it serves our goal of contrasting the tree LSTM models.