| Abstract | Experiments show that, the classifier trained on the projected classification instances significantly outperforms previous projected dependency parsers. |
| Experiments | The projected classifier significantly outperforms previous works on both test sets, which demonstrates that the word-pair classification model, although falling behind of the state-of-the-art on human-annotated treebanks, performs well in projected dependency parsing. |
| Introduction | Experimental results show that, the classifier trained on the projected classification instances significantly outperforms the projected dependency parsers in previous works. |