收稿日期: 2014-07-24
修回日期: 2014-09-16
网络出版日期: 2014-10-05
基金资助
本文系国家国际科技合作专项项目“面向科技文献的日汉双向实用型机器翻译合作研究”（项目编号：2014DFA11350）和中国科学技术信息研究所重点工作项目“中英日多语言科技文本分析基础软件工具与平台建设”（项目编号：ZD2014-3-4）研究成果之一。
An Automatic Marking Approach for Subjective Questions Based on Short Text Similarity Computing
Received date: 2014-07-24
Revised date: 2014-09-16
Online published: 2014-10-05
张均胜 , 石崇德 , 徐红姣 , 高影繁 , 何彦青 . 一种基于短文本相似度计算的主观题自动阅卷方法[J]. 图书情报工作, 2014 , 58(19) : 31 -38 . DOI: 10.13266/j.issn.0252-3116.2014.19.005
The key technology of automatic marking of text subjective questions is to improve the accuracy of computing the short text similarity between the answer of a student and the standard answer. This paper proposes a short text similarity computing method combed with the manual standard of similarity judgment, sets of words, orders of words and synonyms designs and implements the corresponding automatic marking system for subjective questions. It develops a manual grading standard base of items, and the experiment data set is chosen from the 387 real test questions and answers in the bank training area. In the experiments, between the automatic marking results and the manual marking results, the identical rate reaches 58%, and the acceptable marking accuracy is about 80%.
Key words： short text; similarity; subjective question; automatic marking
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