摘要
某集团公司于2019年开展了在合同系统中的智能化应用研究,通过在合同系统中引入智能化应用,来提升合同审核的效率、增加合同信息准确性、增强合同风险防控能力,降低企业运营风险。本篇论文是基于本次项目的研究成果之上,为合同系统在小样本量环境下如何构建基于自然语义分析及机器学习技术打造智能化辅助支撑平台,同时为智能化应用推广提供验证依据,以实现在该环境下的快速推广建设。
A group company carried out intelligent application research in contract system in 2019.By introducing intelligent application in contract system,it can improve the efficiency of contract audit,increase the accuracy of contract information,enhance the ability of contract risk prevention and control,and reduce the operational risk of enterprises.This paper is based on the research results of this project,for the contract system in the small sample environment how to build based on natural semantic analysis and machine learning technology to create an intelligent auxiliary support platform,at the same time,it provides verification basis for intelligent application promotion.
作者
张兰兰
ZHANG Lan-lan(CNOOC Information Technology Co.,Ltd.,Tianjin 300452)
出处
《数字技术与应用》
2021年第3期59-61,共3页
Digital Technology & Application
关键词
小样本量
智能化
机器学习
自然语言处理(NLP)
合同智能审核
Small sample size
Intelligence
Machine learning
Natural language processing(NLP)
Intelligent contract audit
