Who should I Collaborate with? A Comparative Study of Academia and Industry Research Collaboration in NLP
This addresses the problem of understanding collaboration dynamics for NLP researchers and institutions, but it is incremental as it applies existing methods to new data.
The study investigated the effects of academia-industry collaboration in NLP by analyzing affiliations and citations, finding a trend towards increased industry and hybrid publications with higher impact compared to academia-only ones.
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.