Who should I Collaborate with? A Comparative Study of Academia and Industry Research Collaboration in NLP
July 21, 2023 Β· Declared Dead Β· π 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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