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。
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.