大数据 ›› 2023, Vol. 9 ›› Issue (2): 99-109.doi: 10.11959/j.issn.2096-0271.2023014

• 研究 • 上一篇    下一篇

智能文本生成:进展与挑战

万小军   

  1. 北京大学王选计算机研究所,北京 100080
  • 出版日期:2023-03-15 发布日期:2023-03-01
  • 作者简介:万小军(1979- ),男,博士,北京大学王选计算机研究所博士生导师,主要研究方向为自动文摘与文本生成、情感分析与语义计算、多语言与多模态NLP等。曾担任计算语言学重要国际期刊Computational Linguistics编委、国际会议EMNLP 2019程序委员会主席,现任CCF-NLP专委会秘书长、中国中文信息学会理事与NLGIW专委会副主任、TACL与ARR执行编委、NLE编委、JCST编委,多次担任相关领域重要国际会议(ACL、NAACL、EMNLP、EACL、AACL)高级领域主席或领域主席。荣获ACL 2017杰出论文奖、IJCAI 2018杰出论文奖。研制推出多款AI写作机器人,如小明、小南、小柯等,应用于多家媒体单位
  • 基金资助:
    国家自然科学基金资助项目(62161160339);国家重点研发计划资助项目(2021YFF0901502)

Intelligent text generation: recent advances and challenges

Xiaojun WAN   

  1. Wangxuan Institute of Computer Technology, Peking University, Beijing 100080, China
  • Online:2023-03-15 Published:2023-03-01
  • Supported by:
    The National Natural Science Foundation of China(62161160339);The National Key Research and Development Program of China(2021YFF0901502)

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。

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

Abstract:

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.

Key words: intelligent text generation, natural language generation, machine writing, natural language processing

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