摘要
研究特定领域中机构合作类型与学术影响力之间的关系,能深入了解不同合作类型所产生的学术影响力差异,以识别出哪种类型的合作可能更具生产力或效率。文章以自然语言处理(NLP)领域为例探究机构合作类型与学术影响力之间的关系。通过与工业界进行合作,可以将学术界的研究成果转化为实际应用,但不同合作模式对合作效果的影响有所不同,因此文章研究不同类型的机构合作与学术影响力之间的关系,从而帮助机构更好地规划合作策略,提高合作效果。首先,将机构分为学术界机构和工业界机构;然后,将合作类型分为学术界机构间合作、学术界机构内合作、学术界与工业界机构间合作、工业界机构间合作和工业界机构内合作;最后,从谷歌学术获取5种合作类型发表的论文被引频次信息,同时定义高被引论文,采用这两个指标衡量学术影响力,并将论文归属到NLP领域不同任务,发现学术界与工业界的机构间合作往往能产生更大的学术影响力,且在不同任务中学术影响力最高的机构合作类型存在差异。
Collaboration with industry allows academic results to be put into practice,but different models of collaboration have different impacts on the collaboration.Examining the relationship between the type of institutional collaboration and the academic impact in a given field can provide insights into the differences in academic impact generated by different types of collaboration,in order to identify which types of collaboration are likely to be more productive or efficient.Using the field of Natural Language Processing(NLP)as an example,this article explores the relationship between the type of institutional collaboration and academic impact,in order to help institutions better plan their collaboration strategies and improve the effectiveness of their collaborations.In this article,institutions are categorized into academic and industrial institutions,and the types of collaboration are divided into five categories:inter-academic,intra-academic,academic-industrial,inter-industrial and intra-industrial collaboration.Citation frequency information is retrieved from Google Scholar for papers published in the five types of collaboration,and the highly cited papers are defined.The article uses the two metrics to measure academic impact,and assigns the papers to different tasks in the field of NLP.It is found that academic-industrial collaborations tend to have higher academic impact,and there are differences in the types of institutional collaborations with the highest academic impact in different tasks.
作者
杨裕楷
赵毅
章成志
YANG Yukai;ZHAO Yi;ZHANG Chengzhi
出处
《图书馆论坛》
北大核心
2024年第5期40-53,共14页
Library Tribune
基金
江苏省社科基金重点项目“智能化驱动的学者细粒度画像构建研究”(项目编号:20TQA001)
国家社科基金项目“大数据环境下杰出人才画像构建与人才评价研究”(项目编号:18BTQ073)研究成果。
关键词
科学合作
机构合作类型
合作绩效
自然语言处理
scientific collaboration
institutional collaboration types
collaborative performance
natural language