李国臣1,3,张立凡1,李 茹1,2,刘海静3,石 佼1. 基于词元语义特征的汉语框架排歧研究[J]. 中文信息学报, 2013, 27(4): 44-52.
LI Guochen 1,3, ZHANG Lifan1 , LI Ru1,2, LIU Haijing3, SHI Jiao1. Chinese Frame Disambiguation Based on the Semantic Feature of Lexical Units. , 2013, 27(4): 44-52.
Chinese Frame Disambiguation Based on the Semantic Feature of Lexical Units
LI Guochen 1,3, ZHANG Lifan1 , LI Ru1,2, LIU Haijing3, SHI Jiao1
1. School of Computer & Information Technology, Shanxi University, Taiyuan, Shanxi 030006, China; 2. Key Laboratory of Ministry of Education for Computation Intelligence & Chinese Information Processing, Taiyuan, Shanxi 030006, China; 3. Taiyuan Institute of Technology, Taiyuan, Shanxi 030008, China
Abstract：Frame disambiguation aims to assign appropriate frame for the target words, according to the consistency between semantic scene and the candidate frame evoked by the target words. The key step of frame disambiguation is the feature selection, which is currently a manual process. However, this manual method doesnt effectively use the semantic feature of each target word. In addition, it is proved that the feature templates are different when the target words achieve best results. Hence, this paper proposes an automatic feature template algorithm to set a feature template for each target word. First, feature sets are composed of features from the corpus; Then the feature achieved the highest score is added to the feature template until the adjacent two score no longer increases. The paper applies a maximum entropy model to Chinese FrameNet corpus, examining the automatic feature selection algorithm by 5-fold cross validation, and achieves an average precision of 84.46%. Key wordsChinese frame disambiguation; Chinese FrameNet; automatic feature selection; semantic feature of lexical units
2013, Vol. 27 
