Cord 19

CORD-19 is a large, open-access dataset of scientific literature related to COVID-19, primarily used to facilitate research on the pandemic through text mining and information retrieval. Current research focuses on improving methods for extracting relevant information, including the development of enhanced named entity recognition pipelines, topic modeling using techniques like Latent Dirichlet Allocation (LDA), and the application of graph neural networks and large language models for improved document retrieval and question answering. These efforts aim to accelerate scientific discovery and knowledge synthesis within the COVID-19 research community and beyond, enabling more efficient analysis of the vast amount of published research.