计算机与数字工程2019，Vol.47Issue(12)：3126-3131,6.DOI:10. 3969/j. issn. 1672-9722. 2019. 12. 035
基于深度学习的机器中文阅读理解研究
Study on Machine Chinese Reading Comprehension Based on Deep Learning
徐鹏飞 1李晓戈1
作者信息
- 1. 西安邮电大学计算机学院 西安 710061
- 折叠
摘要
Abstract
Machine reading comprehension is currently a challenging task in machine learning,its main goal is to improve the understanding of the text reading computer level. In recent years,with the deep learning in reading more and more machine applica?tion in the field of machine reading comprehension level has been improved rapidly. Aiming at machine reading comprehension in Chinese article,this paper builds an attention mechanism of neural network model which is applied in reading comprehension in context. Then the influence of experimental results of the model of reading comprehension is analyed,And the experimental results of the attention mechanism on different types of problems are given. The experimental results show that,the model ultimately reach?es 65.253% F1 and 53.154% matching degree in Chinese reading and comprehension.关键词
深度学习/词向量/机器阅读/注意力机制/长短时记忆网络Key words
deep learning/word vector/machine reading/attention mechanism/long short term memory分类
信息技术与安全科学引用本文复制引用
徐鹏飞,李晓戈..基于深度学习的机器中文阅读理解研究[J].计算机与数字工程,2019,47(12):3126-3131,6.
