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大模型时代下全文计量分析的应用与思考——2023全文本文献计量分析学术沙龙综述 被引量:1

Application and Reflection of Full-text Bibliometric in the Era of Large Models——A Review of the 2023 Academic Salon on Full-text Bibliometric Analysis
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摘要 2023年9月14日—16日,由中国科学院成都文献情报中心主办、科技创新评价研究中心(SERC)承办的“第六届科学计量与科技评价天府论坛”在成都举办。由章成志、胡志刚、徐硕等人共同发起的第四届“全文本文献计量分析”沙龙作为其中的一项重要活动,吸引了八十余位专家学者的积极参与和深入交流。本文通过对沙龙嘉宾的发言与研讨内容进行梳理与总结,将沙龙的主要内容归纳为大语言模型与全文本计量分析、全文计量分析的应用场景等方面,以期介绍国内外全文本文献计量分析的研究现状和发展趋势。 On September 14-16,2023,the Sixth Chengdu Conference on Scientometrics&Evaluation was held,hosted by the National Science Library(Chengdu),Chinese Academy of Sciences and organized by the Sci-tech innovation Evaluation Research Center(SERC).The Fourth Academic Salon on Full-text Bibliometric analysis,initiated by Zhang Chengzhi and others,was an important event of the Chengdu Conference,receiving more than eighty experts and scholars'enthusiastic participation and in-depth communication.By combing and summarizing the speeches and discussions of the guests of the salon,this article summarizes the main contents of the salon into the aspects of large language model and full-text bibliometric analysis,the application scenario of full-text bibliometric analysis and so on,in order to reveal the research status and development trend of full-text bibliometric analysis.
作者 周海晨 章成志 胡志刚 徐硕 毛进 陈亮 Zhou Haichen;Zhang Chengzhi;Hu Zhigang;Xu Shuo;Mao Jin;Chen Liang(National Science Library(Chengdu),Chinese Academy of Sciences,Chengdu,610299;School of Economics&Management,Nanjing University of Science and Technology,Nanjing,210094;Institute for Science,Technology and Society,South China Normal University,Guangzhou,510631;School of Economics&Management,Beijing University of Technology,Beijing,100124;School of Information Management,Wuhan University,Wuhan,430072;Institute of Scientific and Technical Information of China,Beijing,100038)
出处 《信息资源管理学报》 CSSCI 2024年第2期162-168,F0003,共8页 Journal of Information Resources Management
基金 国家自然科学基金面上项目“基于学术文献全文内容的细粒度算法实体抽取与评估研究”(72074113)的研究成果之一。
关键词 全文本计量 大语言模型 颠覆性技术 创新识别 Full-text bibliometrics Large language model Disruptive technology Innovation identification
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