Semantic Labeling of Chinese Special Sentence Patterns Based on Automation Technology

Abstract:

Parsing Chinese is a key issue in NLP. Many controversies arise from Chinese special sentence patterns. This paper puts forward a novel model Feature Structure theory to resolve the semantic labeling of Chinese special sentence patterns. We analyze the difficulties in annotating these sentences, and compare Feature Structure with dependency structure. Feature Structure represents more semantic information and more semantic relations. Feature Graph is a recursive undirected graph, allows nesting and multiple correlations.

• Periodical: Applied Mechanics and Materials (Volumes 427-429)
• Pages: 1649-1652
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.427-429.1649
• Online since: September 2013
• Authors: Bo Chen, Chen Lv, Dong Hong Ji
• Keywords: Chinese Special Sentence Pattern, Dependency Structure, Feature Structure, Graph, Semantic Labeling

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