CORA: Understand PubMed Citation Contexts

Jun Wang

This extension aims to help people better understand the citation contexts of a PubMed article. We extracted over 100 million citation contexts from semanticscholar.org (especially, S2ORC: Allen AI's Open Research Corpus), and trained a deep learning model to classify those citation contexts into different types so that readers know how an article was cited by others. In addition, we also provide users with a search function to find EurekAlert! science news releases and NSF/NIH grants that are related to a PubMed article. This project is supported by IMLS grant RE-07-14-0015. Team members: Yingya Li, Yatish Hegde, Jun Wang (chrome extension developer), and Bei Yu (PI).