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

Hussain Sadiq Abuwala, Bohan Zhang, Mushi Wang
7/21/2023
cs.DLcs.CLcs.IR

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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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Cite this paper

@article{abuwala2023should,
  title  = {Who should I Collaborate with? A Comparative Study of Academia and Industry Research Collaboration in NLP},
  author = {Hussain Sadiq Abuwala and Bohan Zhang and Mushi Wang},
  year   = {2023},
  eprint = {2308.04524},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2308.04524v1}
}

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