SEEN: a semantic dependency analyzer for Chinese
Jiajun Yan, David B. Bracewell, Fuji Ren, Shingo Kuroiwa · Annual Conference on Computers · 2006
Determining the semantic structure of sentences is a difficult but desired task. In this paper, we propose a system for determining semantic dependency in Chinese sentences. The system is composed of 3 main modules; Syntactic analysis, headword assignment, and semantic dependency assignment. For the semantic dependency module, many classifiers are tested. The best is able to achieve an accuracy of just under 84%.