Two Local Models for Neural Constituent Parsing
Table 5: Results on the Chinese Treebank 5.1 test set.
['Parser charniak2005rerank (R)', 'LR 80.8', 'LP 83.8', 'LF 82.3', 'Parser petrov2007unlex', 'LR 81.9', 'LP 84.8', 'LF 83.3']
Chinese. Under the same settings, all the three models outperform the state-of-the-art neural model Compared with the in-order transition-based parser, our best model improves the labeled F1 score by 1.2 (86.1→87.3).