Question Classification Based on Focus
Question classification plays an important role in Question Answer system. This paper proposes a method based on question focus, which combines advantages of both rulebased methods and statistical methods. The question focus is the kernel of a question and represents the form and content of the doubt. Firstly, question focus definition is given according to linguistics and extraction method is described based on dependency analysis and semantic role labeling on which both depends statistical machine learning. And then, classifying questions with same focus to one category, finer question taxonomy without unreliable human effects is introduced with support of domain ontology. In order to evaluate contributions of question focus, a classifier using question focus is designed and implemented in a practical QA system in restricted domain of computer hardware. Experimental result shows efficiency of question focus and contributions to improve accuracy of question classification and the overall performance of QA.
component question classification question focus dependency analysis semantic role ontology
LIU Xiao-ming LIU Li
School of Computer Science and TechnologyBeijing Institute of TechnologyBeijing, China School of Computer Science and Technology Beijing Institute of Technology Beijing, China
国际会议
哈尔滨
英文
330-334
2011-01-18（万方平台首次上网日期，不代表论文的发表时间）