自然语言处理领域国际合作团队的机构构成与学术影响力的关系研究  

Relationship Between Institutional Composition and Academic Influence of International Collaboration Teams in Natural Language Processing

作　　者：胡子乐 赵毅 章成志[1] HU Zile;ZHAO Yi;ZHANG Chengzhi(Department of Information Management,Nanjing University of Science&Technology,Nanjing 210094,China)

机构地区：[1]南京理工大学经济管理学院,江苏南京210094

出　　处：《情报科学》2024年第6期62-73,共12页Information Science

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”(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”(18BTQ073)。

摘　　要：【目的/意义】本研究以自然语言处理领域为例,探讨该领域内国际合作团队的机构构成对学术影响力的影响,旨在为研究人员选择国际合作伙伴提供指导,从而协助其提升学术影响力。【方法/过程】本研究选取自然语言处理领域三大顶级会议论文数据作为数据源,系统地探讨了国际合作团队的机构构成对学术影响力的影响。并比较发文量最高的美、中、英三个国家国际合作团队中机构构成与学术影响力的差异。【结果/结论】研究发现,在国际合作中,由大型企业与大型企业构成的团队以及大型企业、非大型企业、高水平研究所与一般研究所构成的团队往往能够产生更高的学术影响力。与其他国家相比,高水平高校能够给英国国际合作论文带来更高的学术影响力,大型企业能够给美国国际论文带来更高的学术影响力。【创新/局限】文章通过对机构类型进行细分,来考察机构构成与学术影响力间的关系。后续研究可以对机构类型进一步细分,并结合新颖性等指标来更全面地评估学术影响力。【Purpose/significance】This study takes the domain of natural language processing as a case to investigate the influence of the institutional composition of collaborative teams in international research cooperation among different countries. It aims to guide researchers in selecting international partners and enhance their academic impact.【Method/process】The study utilizes paper data from three top-tier conferences in the natural language processing field as the dataset to analyze the impact of institutional composition on academic performance in international research teams. It also compares the differences in institutional composition and academic impact among international collaborative teams from the United States, China, and the United Kingdom, which have the highest publication rates.【Result/conclusion】This study finds that in international cooperation, those composed of large enterprises partnering with large enterprises and those composed of a mix of large enterprises, non-large enterprises, high-level research institutions, and normal research institutions tend to yield higher academic influence. In comparison to international collaborative papers with other countries,high-level universities contribute to higher academic influence for international collaborative papers involving the UK, while large enterprises contribute to higher academic influence for international papers involving the US.【Innovation/limitation】This study innovatively examines the relationship between institutional composition and academic influence by sub-dividing institution types. Future research can further refine institution types and incorporate additional metrics, such as novelty, to comprehensively assess academic impact.

关 键 词：国际科研合作 学术影响力 科研团队 机构构成 自然语言处理 

分 类 号：G311[文化科学]