For the third time in a row, I was a presenter at the yearly TIPPA meeting, which is The Annual International Publication Planning Meeting. This time, I gave a brief overview of what’s happening in the NLG field and tried to analyze how this development will affect us, our professions, and the society we live in.
For this presentation, I picked out three companies as interesting examples:
- Sweden-based United Robots because it has quickly become an exciting player on both sides of the Atlantic, not least in the field of automated journalism.
- Sweden-based Cowrite as I find their cover letter builder intriguing; with a template based on classical rhetoric, it has apparently proved itself effective.
- Germany-based AX Semantics as they are one of the companies that are focusing on the pharmaceutical sector. For example, they claim that 30% of the work on clinical study reports can now be automated.
Some starting points
- Robo-writers: the rise and risks of language-generating AI (Matthew Hutson, Nature, March 2021)
- Auto articles: an experiment in AI-generated content (Nature, December 2020)
NLG in Pharma
Some companies that are working on NLG-based tools and solutions for the pharmaceutical field:
- Automation of Clinical Study Reports (CSRs) using AI (narrativa.com)
- The Role of NLG-based Reporting Automation in the Pharma Industry (phrazor.ai)
- The transformative impact of NLG on Pharma (arria.com)
NLG services for science writing
Using NLG services for literature review
- Automation of literature screening using machine learning in medical evidence synthesis: a diagnostic test accuracy systematic review protocol
- A roadmap toward the automatic composition of systematic literature reviews
Please note: all texts on this blog are produced by me, Olle Bergman, or invited human writers. When robot-written sections are added to serve as examples or to demonstrate a point, this is clearly indicated.