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基于问题模式匹配的智能答疑系统原型

冼 健,莫玄朗,奚建清   

  1. 华南理工大学计算机软件学院, 广东 广州 510006
  • 收稿日期:2006-03-29 修回日期:1900-01-01 出版日期:2006-10-24 发布日期:2006-10-24
  • 通讯作者: 冼 健

A question answering system based on question pattern match

XIAN Jian,MO Xuan-lang and XI Jiang-qing   

  1. School of Software Engineering, South China University of Technology, Panyu District, Guangzhou 510006, Guangdong, China
  • Received:2006-03-29 Revised:1900-01-01 Online:2006-10-24 Published:2006-10-24
  • Contact: XIAN Jian

摘要: 智能答疑系统是将学生的问题和老师的解答有机地组织起来并存放至相应的答题库中,通过自然语言的语义理解技术来分析并自动的匹配学生所提出的问题,自动地给予问题解答的系统. 智能答疑系统能够给予提问者即时的回应,减轻教学人员的工作压力,在远程教学中具有重要意义.红棉智能答疑系统(原型系统)针对国内现有的智能答疑系统普遍存在的问题,借鉴了国外先进智能答疑系统的成功经验与设计理念,根据中文智能答疑的特殊需求,引入了基于概率的双向最大匹配分词算法、智能问题模式匹配、基于语义依存树的语义分析等技术进行智能问题分析,形成了具有更高答案召回率、合理性与正确性的新一代智能答疑系统.

关键词: 分词, 问题模式匹配, 语义依存

Abstract: Question Answering(QA) system is a system that puts the question and the answer into a database and organizes them. This system can answer students’ questions automatically by a technology named semantic understanding used for understanding natural language. The design and implementation of QA System are presented. This system adopts twosides mostly matched method, intellectual question match pattern and semantic analyze means which are based on dependent parsing tree for the question analyzing. A great deal of corrective rate and answering callback rate in our test show that this system is a new good system.

Key words: semantic dependence , question pattern match, word segmentation

[1] 龚双双,陈钰枫,徐金安,张玉洁. 基于网络文本的汉语多词表达抽取方法[J]. 山东大学学报(理学版), 2018, 53(9): 40-48.
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