摘要
智能文本生成是人工智能与自然语言处理领域的前沿研究方向,也是AI生成内容(AIGC)的关键技术支撑,能够大幅提升文本内容的生成效率,近年受到学术界和产业界的高度关注,在媒体出版、电子商务等多个行业与场景均已得到应用。对智能文本生成的应用现状与主要方式进行系统概述,重点介绍基于深度学习的智能文本生成技术,同时阐述现有技术面临的挑战。
Intelligent text generation is one of the advanced research directions in the fields of artificial intelligence and natural language processing.It is one of key technologies for making AIGC successful,and it has been highly concerned by both academia and industry in recent years.The technology has been deployed and used in many application areas including media publishing and e-commerce,and it can much improve the efficiency of text content production.The systematic overview of the applications of intelligent text generation and the mainstream ways of text generation were given.And the recent deep learning techniques for text generation were introduced.Lastly,the challenges faced by neural text generation were summarized.
作者
万小军
WAN Xiaojun(Wangxuan Institute of Computer Technology,Peking University,Beijing 100080,China)
出处
《大数据》
2023年第2期99-109,共11页
Big Data Research
基金
国家自然科学基金资助项目(No.62161160339)
国家重点研发计划资助项目(No.2021YFF0901502)。
关键词
智能文本生成
自然语言生成
机器写作
自然语言处理
intelligent text generation
natural language generation
machine writing
natural language processing