主观题自动评卷准确程度的关键技术研究——基于单向贴近度与词序相似度相结合的视角  

Research on the Key Technology of the Subjective Question Marking Accuracy:Based on the perspective of combination of one-way similarity and word order similarity

作　　者：邓兆熙 

机构地区：[1]岭南师范学院商学院,广东湛江524048

出　　处：《岭南师范学院学报》2016年第6期93-96,共4页Journal of Lingnan Normal University

摘　　要：信息产业的迅速发展为教育信息化的实现提供了条件,而教育部高度重视是信息化教育的发展的重要动力.然而,由于中文主观题的答案具有相当的复杂性,因此系统自动评卷有较大的难度.本文将在介绍分词技术的基础上,把单向贴近度和词序相似度进行相结合,从而达到提升主观题自动评卷的目的,并且对其效果进行检验.At present , the rapid development of the informat ion indust ryprovides the conditions for the realization of educational information, and the Ministry of education attaches great importance to the de-velopment of information technology. However, because of the complexities of the answers in Chinese, the system of automatic marking is difficult. This paper will be based on the word segmentation technolo-gy, the one-way similarity and word order similarity combined, so as to improve the subjective question marking, and to test its effect.

关 键 词：主观题 自动评卷 单向贴近度 词序相似度 

分 类 号：TP311.56[自动化与计算机技术—计算机软件与理论]