Who should I Collaborate with? A Comparative Study of Academia and Industry Research Collaboration in NLP

• URL: http://arxiv.org/abs/2308.04524v1
• Date: Fri, 21 Jul 2023 01:26:29 GMT
• Title: Who should I Collaborate with? A Comparative Study of Academia and Industry Research Collaboration in NLP
• Authors: Hussain Sadiq Abuwala, Bohan Zhang, Mushi Wang
• Abstract summary: The goal of our research was to investigate the effects of collaboration between academia and industry on Natural Language Processing (NLP) 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.
• Score: 5.929956715430167
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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