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基于语句相似度计算的智能答疑系统机理研究

李春生 卢鹏飞 张可佳

计算机技术与发展2018,Vol.28Issue(4):91-94,4.
计算机技术与发展2018,Vol.28Issue(4):91-94,4.DOI:10.3969/j.issn.1673-629X.2018.04.0019

基于语句相似度计算的智能答疑系统机理研究

Research on Mechanism of Intelligent Question Answering System Based on Sentence Similarity Computation

李春生 1卢鹏飞 1张可佳1

作者信息

  • 1. 东北石油大学 计算机与信息技术学院,黑龙江 大庆163318
  • 折叠

摘要

Abstract

In order to solve the problem of poor real-time performance,low accuracy and low efficiency of the existing question answer-ing methods in the process of online learning with the Internet,we present an intelligent question answering scheme based on the similarity calculation of sentences.First,we analyze the existing methods of question answering and their defects,then elaborate the work flow,the overall structure and the related database structure of the intelligent answering system.The common problem database is added for the problem of low retrieval efficiency of the original question answering method,and the word matching method based on the string matc-hing is introduced to complete the separation of questions raised by learners.Finally,the similarity calculation method based on the word information is used to calculate the statement similarity of which the result is given to the learner,so as to improve the accuracy,efficiency and real-time performance of the system and meet the needs of learners.Experiments show that the scheme has higher accuracy and effi-ciency than original answering scheme.

关键词

分词/相似度计算/智能/答疑系统

Key words

word segmentation/similarity calculation/intelligent/question answering system

分类

信息技术与安全科学

引用本文复制引用

李春生,卢鹏飞,张可佳..基于语句相似度计算的智能答疑系统机理研究[J].计算机技术与发展,2018,28(4):91-94,4.

基金项目

黑龙江省自然科学基金面上项目(F2015020) (F2015020)

黑龙江省教育科研规划重点课题(GJB1215013) (GJB1215013)

计算机技术与发展

OACSTPCD

1673-629X

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