面向选择类题型求解的相似问题发现研究_1.pdfVIP

120 2018 ，54（15） Computer Engineering and Applications 计算机工程与应用 面向选择类题型求解的相似问题发现研究 用 1 2 1，2 2 于 凤 ，郑雨晴 ，郑德权 ，赵姗姗 应 1 2 1，2 2 YU Feng , ZHENG Yuqing , ZHENG Dequan , ZHAO Shanshan 与 1. 哈尔滨商业大学 计算机与信息工程学院，哈尔滨 150028 程 2. 哈尔滨工业大学 计算机科学与技术学院，哈尔滨 150001 g r 1.School of Computer and Information Engineering, Harbin University of Commerce, Harbin 150028, China 工 o 2.School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China . 机 j a YU Feng, ZHENG Yuqing, ZHENG Dequan, et al. Research on similarity problem discovery for multiple choice 算 e questions solving. Computer Engineering and Applications, 2018, 54 （15）：120-125. c 计 w. Abstract: Artificial Intelligence （AI ）is more popular today, intelligence problem-solving, therefore, has gradually become a major research method. This paper mainly studies the multiple choice problem-solving on the basis of knowledge asso- w ciation and reasoning, tries to solve two problems of the question-comprehension and similar question discovery. According w to question-comprehension, TextRank and Part-Of-Speech （POS ）tagging are introduced in order to complete the key information extract, and word2vec word clustering result is used to complete the key information extension. As for similar problem-discovery, firstly, this paper has randomly select questions from question bank management system according to the key information which is