Semantic Labeling of Chinese Verb-Complement Structure Based on Feature Structure

Semantic relations of Chinese verb-complement structure are complicated, which is difficult to analyze semantic relations in NLP. This paper proposes a novel model based on “the Feature Structure theory” and applies it in representing the semantic relations among the four components, which are subject, verb, object and complement. We annotated the fifteen types of semantic relations, and compared the feature structure with the traditional dependency grammar. The results show that feature structure is an undirected recursive graph, which can describe more Chinese semantic information, and achieve higher annotating efficiency and accuracy.