An Unified Model by Combining Multiple Methods for Integrating Constituent into Chinese Semantic Role Labeling

Recently, Chinese Syntax-aware Semantic Role Labeling (SRL) has attracted the attention of many researchers because syntax information is related to semantic role labeling intuitively. In this paper, we integrate constituency representation into SRL by combining multiple methods into a unified model. Specifically, our proposed model combine three methods for integrating constituent into SRL, including pipeline (use syntax structure), hard parameter (share encoder), implicit representation integration (not share encoder). We verify the effect of our model on Chinese Proposition Treebank (CPB) 1.0 dataset and conduct some ablation experiments to verify the impact of various parts of the model.