Chinese semantic parsing based on dependency graph and feature structure

Labeling corpus with Feature Structure is a new attempt to incorporate large-scale semantic descriptions and semantic parsing. In this paper, we propose Dependency Graph Theory and Feature Structure Theory to resolve the semantic parsing of Chinese phrases and sentences, and have built a large-scale Chinese labeling corpus using Feature Structure. Feature Structure can represent the semantic relations of words in Chinese sentences more clearly and accurately.