1.School of Computer & Information Technology, Shanxi University, Taiyuan, Shanxi 030006, China; 2. MOE Key laboratory of Computation Intelligence and Chinese Information Processing, Shanxi University, Taiyuan, Shanxi 030006, China
Abstract：Based on the theory of frame semantics, Chinese core frame semantic analysis is to extract the core frame semantic representation to analyze the semantic content of the sentence. We solve this problem using a three-stage learning model. Taking the tasks different characteristics into consideration, we choose the choose Maximum Entropy model to take core target in the sentential contexts and predict frame for the core target, Conditional Random Field model to label the frame elements defined in Chinese FrameNet. Experimental results on the 10831 exemplified sentences show that the F score of core target identification and frame element identification reach 99.51% and 59.01% respectively, and the frame identification reaches 84.73% accuracy.
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2014, Vol. 28 
