Semantic Labeling of Chinese Subject-Predicate Predicate Sentence Based on Feature Structure

Abstract

Constructing large scale Chinese semantic resources is one of the major tasks in current Chinese Information Processing.However,the conventional approaches in semantic parsing have some defects in that they cannot denote the semantic relatedness between Chinese words and constituents.We propose a semantic annotation approach based on Feature Structure and accordingly construct large scale Chinese semantic resources.We choose "subject-predicate predicate sentence" as the research target in the paper,summarize seven categories of Feature Triples,and compare the results of three different analysis methods.Parsing based on Feature Structure solves the problems of appropriate ways to tackle the special Chinese sentence patterns.It also provides more semantic information than conventional approaches,and produces an improved annotating efficiency and accuracy.