摘要
本文以计算机为辅助设计语文阅读理解词义判断题的支持度计算解答模型。首先设计词义判断题解答架构,其次详细设计语言模型、点互信息、句子相似度三种不同支持度计算解答模型,最后进行实验分析。实验结果表明,在真实数据集中三种模型正确率,即63.2%、76.1%、63.2%;而在自动生成数据集中,正确率为68.2%、66.2%、65.1%。因此,此支持度计算解答模型为语文阅读理解问答解答奠定了坚实基础,促进了阅读理解深化探究。
In this paper, the computer aided design of Chinese reading comprehension word meaning judgment problem support degree calculation and solution model is taken. Firstly, the framework of word meaning judgment is designed, and then the language model, point mutual information and sentence similarity are designed in detail. Finally, the experimental analysis is carried out. The experimental results show that the correct rate of the three models is 63.2%, 76.1%, 63.2% in the real data set, and 68.2%, 66.2%, 65.1% in the automatic data set. Therefore, this support degree calculation and answer model lays a solid foundation for Chinese reading comprehension question and answer, and promotes the deepening of reading comprehension.
作者
张菊
杨勇
ZHANG Ju;YANG Yong(Hebei College of Industry and Technology Xuangang Branch,Zhangjiakou 075100 China)
出处
《自动化技术与应用》
2020年第3期48-50,共3页
Techniques of Automation and Applications
关键词
计算机
阅读理解
词义判断题
支持度
计算解答模型
computer
reading comprehension
meaning judgment
support degree
computing solution model