考试系统中主观题自动判卷算法研究  

An Automated Assessment Algorithm for Subjective Tests

作　　者：朱世华[1] 陈明[1] 

机构地区：[1]中南大学数学与统计学院,长沙410083

出　　处：《数学理论与应用》2016年第3期119-122,共4页Mathematical Theory and Applications

基　　金：中南大学面向对象程序设计考试改革项目(160100036)

摘　　要：本文根据考试系统中主观题自动判卷的基于单向贴近度的算法进行改进,提出了加权的单向贴近度的算法.该算法主要考虑了参考答案中各个关键词的重要程度不一样,而给每个关键词赋一定的权值.改进的算法对评分的准确性有一定的提高.In this paper, by improving the Single Similar Degree algorithm, a weighted Single Similar Degree algorithm is developed for automated assessment of subjective tests in the online exam system, which mainly considers the importance of the key words in the reference answer and gives each of the key words a certain weight. The improved algorithm has more accuracy for the assessment.

关 键 词：单向贴近度 考试系统 自动判卷 权重 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]