节点文献
基于语法分析和统计方法的答案排序模型
Constructing an Answer Ranking Model Using Semantic Analysis and Statistical Method for Question Answering
【摘要】 该文描述了一种构建问答式检索系统中答案排序模型的新方法。该方法结合了基于密度方法的度量特征和外部知识库,并且引入了基于语法分析方法的语法关键路径的新特征,使用支持向量机回归模型训练评估函数。实验证明,引入了上述语法关键路径特征后的新答案排序模型的排序性能有了明显提高。
【Abstract】 This paper describes a new method to construct the answer ranking model for Question Answering System.The method leverages knowledge density-based features used in answer ranking and introduces a new feature--syntactic path--by using parsing analysis and establishes an evaluation function by using supporting vector machine regression model.The experiments show that the new model which involves the syntactic path feature achieves substantial improvements.
【关键词】 计算机应用;
中文信息处理;
自动问题回答;
语法关键路径;
答案排序;
支持向量机;
【Key words】 computer application; Chinese information processing; question answering; syntactic path; answer ranking; Support Vector Machine;
【Key words】 computer application; Chinese information processing; question answering; syntactic path; answer ranking; Support Vector Machine;
【基金】 国家自然科学基金资助项目(60435020)
- 【文献出处】 中文信息学报 ,Journal of Chinese Information Processing , 编辑部邮箱 ,2009年02期
- 【分类号】TP391.1
- 【被引频次】16
- 【下载频次】255