Artificial intelligence in scholarly communications: An elsevier case study

Abstract

This paper is an adaptation of presentation given by the author at the NFAIS Conference on Artificial Intelligence that was held in Alexandria, VA from May 15-16, 2019. It provides an overview on the need for increased Artificial Intelligence (AI) usage in scholarly communications for both information providers and the research community. It also includes an introduction to how Elsevier transitioned from print to electronic to information solutions (P - E - S) and how some of its tools employ AI. In addition, it covers two case studies showcasing how Elsevier incorporated Machine Learning (ML) and Natural Language Processing (NLP) to create two technological and data-based solutions for researchers, as well as a summary of the solutions' positive outcomes.