Systematic Reviewing of Text Databases with the Researcher-in-the-Loop
Channel: ASReview TV
Date: 2020-06-20

Systematic Reviews are “top of the bill” in research, but any researcher who has conducted a systematic search knows how labor-intensive the process of selecting potentially relevant scientific articles is, and the number of scientific papers on any topic is skyrocketing. Since it is of crucial importance for the advancement of science to produce high-quality systematic review articles, sometimes as quickly as possible in times of crisis, we need to find a way to effectively automate this screening process. With the rapidly evolving field of Artificial Intelligence (AI), the large amount of manual work can be reduced or even completely replaced by software using combinations of machine (deep) learning models in combination with active learning. We developed an AI- aided tool ASReview.

Van de Schoot, Rens, et al. “ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews.” ArXiv:2006.12166 [Cs], June 2020. arXiv.org, http://arxiv.org/abs/2006.12166.

Website: http://asreview.nl
Github: http://github.com/asreview/asreview
Email: asreview@uu.nl