一种基于NLP的智能培训系统中知识点与题库关联方法

A Method for Associating Knowledge Points with Question Banks in an Intelligent Training System Based on NLP

随着人工智能技术的快速发展,自然语言处理(Natural Language Processing,NLP)技术在各个领域得到了广泛应用。文章提出一种基于NLP技术的智能培训系统中知识点与题库关联方法,该方法利用NLP技术对培训材料进行文本分析,自动提取知识点,并基于知识点和题库之间建立关联模型,实现试卷题目的自动分配。该方法能够有效提高培训系统的智能化水平,提高培训效率和质量。

With the rapid development of artificial intelligence technology,natural language processing(NLP)technology has been widely applied in various fields.This article proposes a method for associating knowledge points with question banks in an intelligent training system based on NLP technology.The method utilizes NLP technology to conduct text analysis on training materials,automatically extract knowledge points,and establish an association model based on the knowledge points and question banks to achieve automatic distribution of test questions.This method effectively improves the intelligence level of the training system and improves training efficiency and quality.