Research on the Recognition of fKs Based on HNC Theory

Full-automatic semantic analysis is at all times one of the main targets in natural language processing. Many researchers made great efforts in semantic analyzing or tagging to reach such target. There have been some good results in shallow semantic analysis such as recognizing syntax phrase chunks and labeling semantic roles. This paper introduces the supplementary semantic chunk (in short, fK) in the theory of hierarchical network of concepts (HNC). Based on the characteristic boundary symbols and concepts of fKs, we sum up some operational rules for computer to recognize the fKs in Chinese sentences. These rules are quite effective when recognizing the fKs in an experiment.