Semantic Role Labeling Based on Tree Conditional Random Fields Model
Xuyang Wang · Jisuanji gongcheng · 2010
Based on the deficiency of Conditional Random Fields(CRFs) can not describe structure relationship of the internal semantic roles more exactly,this paper proposes an approach to Semantic Role Labeling(SRL) which is based on Tree Conditional Random Fields(TCRFs) model.By labeling Hierarchical dependencies and Brother dependencies of syntactic dependency tree,it can deal with the long-distance dependencies between different state variants effectively.Meanwhile,taking advantage of CRFs model can add any features,some new combinative features and preposition phrase role are added to the system.Experimental results which are based on CoNNL 2008 Shared Task show that the proposed method can improve precision and recall rate of the system.