摘要
随着时代的发展,NLP技术逐步渗入各行各业。数字化转型的到来促使NLP技术在标准文献挖掘领域的应用也成为大势所趋。本文较为系统地回顾了标准文献挖掘技术的演变,总结了NLP技术在标准文献中的应用现状,明确指出当前标准文献挖掘领域的潜在问题,并提出了相应的解决对策,从而为标准文献挖掘的数字化转型提供参考。
The Natural Language Processing(NLP)techniques have penetrated invaded into all walks of life over time,which becomes an inevitable trend in the application of standards literature mining after entering into the era of digital tra nsformation.This article makes a systematic review of the technical developments in standards literature mining,summa rizes the current status,points out the potential problems and proposes possible solutions of NLP techniques in standards 1 iterature mining,so as to provide reference for the digital transformation of standards literature mining.
作者
方思怡
夏磊
FANG Si-yi;XIA Lei(Shanghai Institute of Quality and Standardization)
出处
《中国标准化》
2022年第17期62-66,共5页
China Standardization
关键词
NLP
标准文献挖掘
深度学习
NLP
standards literature mining
deep learning
作者简介
方思怡,硕士,助理工程师,研究方向为标准文献数据挖掘;夏磊,硕士,工程师,研究方向为标准数字化。
