基于百度网页的中文自动问答应用研究  

Research on the Application of Chinese Automatic Question Answering Based on Baidu Web Page

作　　者：石凤贵[1] SHI Feng-gui(Department of Software Engineering,Ma'anshan Normal College,Ma’anshan 243041)

机构地区：[1]马鞍山师范高等专科学校软件工程系,马鞍山243041

出　　处：《现代计算机》2020年第8期104-108,共5页Modern Computer

基　　金：安徽省教育厅科学研究项目(No.KJ2017A852).

摘　　要：互联网给人类生活和学习带来了便利,在浩瀚的知识海洋里如何快速、准确获取所需知识?我们需要去寻求一种高效的解决办法.充分利用搜索引擎和自然语言处理技术的各自优点,采用jieba中文分词和Word2Vec词向量构建基于百度网页的中文问答系统,系统的实现引入深度学习思想.The Internet has brought convenience to human life and learning.How to acquire the required knowledge quickly and accurately in the vast ocean of knowledge?We need to find an efficient solution.This paper makes full use of the advantages of search engine and natural lan guage processing technology,uses Chinese word segmentation of jieba and word vector of word2vec to build a Chinese question answering system based on Baidu web page,and introduces the idea of deep learning into the realization of the system.

关 键 词：自然语言处理 自动问答 网络爬虫 jieba中文分词 Word2Vec词向量 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]