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

July 21, 2023 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Hussain Sadiq Abuwala, Bohan Zhang, Mushi Wang arXiv ID 2308.04524 Category cs.DL: Digital Libraries Cross-listed cs.CL, cs.IR, cs.LG Citations 1 Venue arXiv.org Last Checked 3 months ago
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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