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.
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
关键词
复句关系词
依存树核函数
依存句法
特征分析
relation word of complex sentence
dependency tree kernel
dependency grammar
feature analysis
