计算机与现代化

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面向课程的中文FAQ自动问答系统模型

  

  1. 河南财经政法大学计算机与信息工程学院,河南郑州450001
  • 收稿日期:2014-08-01 出版日期:2014-11-03 发布日期:2014-11-05
  • 作者简介:侯丽敏(1978-),女,河南新乡人,河南财经政法大学计算机与信息工程学院讲师,硕士,研究方向:自然语言处理,信息检索; 张永强(1972-),男,河南郑州人,副教授,硕士,研究方向:信息安全,软件工程。
  • 基金资助:
    河南省高等教育教学改革省级立项项目(2014SJGLX233)

Course-oriented Chinese FAQ Auto Question Answering System Model

  1. School of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou 450001, China
  • Received:2014-08-01 Online:2014-11-03 Published:2014-11-05

摘要: 面向课程的中文FAQ自动问答系统作为网络教学平台中的子系统,可以实现课程自动答疑,具有较强的实用性,该类问答系统的FAQ库大都人工构建,费时费力,针对此种状况,本文提出一种新的问答系统模型,从“百度知道”自动获取不同课程FAQ库的问答对,并根据提出的融合语义词典和句法依存关系的句子相似度算法,实现学生问句与根据问句关键字向量得到的FAQ库检索子集中的问句之间的相似度计算,自动应答,其他情况采用人工解答,并更新FAQ库。实验结果表明,本系统模型,具备根据不同课程自动构建高质量FAQ库的能力,具备更高的应答准确率,具备不断增强答疑效果的能力,具有广阔的应用前景。

关键词: 问答系统, 句子相似度, 常见问题集, DOM树, 网络教学平台

Abstract: The course-oriented Chinese FAQ auto question answering system is a subsystem of network teaching platform, which can realize automatic question answering, but the FAQ base is almost built artificially, which is time-consuming and laborious, so an approach for automatic extraction from the Baidu know platform is proposed. The similarity calculation method of question similarity semantic and syntactic dependency relations combined is also proposed. We can get the keywords vector, dependency relation pairs of the question and FAQ library’s retrieval subset from the question, the former two are used by similarity calculation algorithm to obtain the similar question from the subset, and return the answer as a solution. For the questions beyond this set, this system uses artificial service to return the answer. The experimental results show that this system model has the ability of FAQ library automatic construction and a higher response rate of accuracy and continuously strengthen the response ability, so it has broad application prospects.

Key words: words:question answering system, sentence similarity, FAQ, DOM tree, network teaching platform

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