The goal of our research was to investigate the effects of collaboration between academia and industry on Natural Language Processing (NLP). To do this, we created a pipeline to extract affiliations and citations from NLP papers and divided them into three categories: academia, industry, and hybrid (collaborations between academia and industry). Our empirical analysis found that there is a trend towards an increase in industry and academia-industry collaboration publications and that these types of publications tend to have a higher impact compared to those produced solely within academia.

翻译：我们的研究目标是探究学术界与工业界之间的合作对自然语言处理（NLP）领域的影响。为此，我们构建了一个流程来提取NLP论文中的隶属机构和引用信息，并将其分为三类：学术界、工业界以及混合（学术界与工业界合作）。我们的实证分析发现，工业界和学术界-工业界合作发表的论文数量呈上升趋势，且这些类型的论文相比纯学术界产出的论文往往具有更高的影响力。