医疗知识图谱的自动问答系统分析研究  

Analysis and Research on Automatic Question Answering System based on Medical Knowledge Graph

作　　者：黄伟 李莉 徐彭娜 HUANG Wei;LI Li;XU Pengna(Department of Information Technology Engineering,,Fuzhou Polytechnic,Fuzhou,China,350108)

机构地区：[1]福州职业技术学院信息技术工程系,福州350108

出　　处：《福建电脑》2021年第11期100-103,共4页Journal of Fujian Computer

基　　金：福建省中青年教师教育科研项目(科技类)基于医疗领域的自动问答研究(No.JAT201526)资助。

摘　　要：为了使用户能够在线实时得到医疗问题的解答,提高用户体验,本文对医疗领域中基于知识图谱的自动问答系统进行研究,分析知识图谱和自动问答系统的搭建流程,并改进了文本向量化处理过程中的TF-IDF方法。实验结果表明,改进的方法能够提高结果的F1值,使得自动问答系统更好的满足用户的使用需求。In order to enable users to get online real-time answers to medical questions and improve user experience,this paper studies the automatic question answering system based on knowledge graph in the medical field,analyzes the construction process of knowledge graph and automatic question answering system,and improves the TF-IDF method in the process of text vectorization.Experimental results show that the improved method can improve the F1 score of the result,so that the automatic question answering system can better meet the needs of users.

关 键 词：医疗领域 知识图谱 自动问答 实体识别 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]