关键词: 问题分类, 二次贝叶斯模型, 问答系统, 句法分析

Abstract: In this paper, a new method using syntactic parsing-based quadratic-bayesian model was proposed to perform question classification in Chinese restricted domain. In this method, firstly, the shallow syntactic parsing on Chinese question sentences is performed. Secondly, the subject-predicate structures of all parsed question sentences, as well as interrogative words and their adjunctive parts, are extracted as the features in our constructed classifier, which greatly reduces the noise information. Thirdly, an advanced Quadratic-Bayesian classification model for question classification in restricted domain is constructed. The experimental results show that the proposed question classification method is feasible in restricted domain with the average classification precisions of coarse classes and fine classes reach 89.66% and 84.13% respectively.

Key words: question classification, quadratic-Bayesian model, question answering system, syntactic parsing