Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

In multi-pass transition-based dependency parsing algorithm, the shift actions are usually inconsistent for the same node pair in different passes. Some node pairs have a indeed dependency relation, but the modifier node has not been a complete subtree yet. The bottom-up parsing strategy requires to perform shift action for these node pairs. In this paper, we propose a method to improve performance of parsing by using enhanced shift actions. These actions can be further used as features for the next parsing decision. Experimental results show that our method is effective to improve the performance of parsing.