汉语复句关系词的依存树特征分析  

Feature Analysis of Relation Words in Chinese Complex Sentences Based on Dependency Tree

作　　者：杨进才[1] 罗越群 陈忠忠 胡金柱[1] 

机构地区：[1]华中师范大学计算机学院

出　　处：《计算机与数字工程》2017年第8期1569-1573,1578,共6页Computer & Digital Engineering

基　　金：国家社会科学基金项目(编号:14BYY093);国家自然科学基金项目(编号:31371275)资助

摘　　要：复句关系词特征分析是复句关系词自动标识的关键。论文提出基于依存树的复句关系词特征分析方法,通过依存树核函数来捕获复句句法结构特征。对于复句句法分析所得依存树,选取最短路径包含树SPT(Short Path Tree)从树中选取关系词特征序列,设计依存树核函数对特征序列进行相似度的计算。实验证明,运用该方法进行关系词自动识别,具有较高的正确率。Feature analysis of relation words in Chinese complex sentences is the core work in automatic identification of rela-tion words in complex sentence. In this paper,a feature analysis method of relation words based on dependency tree kernel is pro-posed. In the method,grammar tree features of complex sentences are extracted by tree kernel function. A Short Path Tree（SPT）is used for features extract. A tree kernel function is designed for similar computation of features. Experiment shows the method achieves a very good effect.

关 键 词：复句关系词 依存树核函数 依存句法 特征分析 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]