计算机工程2011，Vol.37Issue(22)：128-130,3.
基于树核函数的中文语义角色标注
Semantic Role Labeling in Chinese Language Based on Tree Kernel Function
摘要
Abstract
This paper implements a semantic role labeling in Chinese language, uses the convolution tree kernel of Support Vector Machine (SVM). It focuses on how to properly express the structural representation between predicates and arguments on dependency tree and let the input tree contain less noise information. It explores two methods to prune the dependency tree: Shortest Path Tree(SPT) and Minimum Tree(MT). Experimental results on the transferred corpuses from Chinese PropBank and Chinese NomBank show the system achieves 83.66 in labeled Fl on verbal predicates and 76.87 in labeled Fl on nominal predicates关键词
语义角色标注/树核/依存关系/名词性谓词/动词性谓词Key words
Semantic Role Labeling(SRL)/ tree kernel/ dependency relationship/ nominal predicate/ verbal predicate分类
信息技术与安全科学引用本文复制引用
王步康,王红玲,周国栋..基于树核函数的中文语义角色标注[J].计算机工程,2011,37(22):128-130,3.基金项目
教育部博士点基金资助项目(200802850006) （200802850006）
江苏省自然科学基金资助项目(BK2008160) （BK2008160）
江苏省高校自然科学重大基础研究基金资助项目(08KJA520002) （08KJA520002）
