Scholars who want to research a scientific topic must take time to read, extract meaning, and
identify connections across many papers. As scientific literature grows, this becomes …

This article explores the existing research literature on data journalism. Over the past years,
this emerging journalistic practice has attracted significant attention from researchers in …

Abstract The C ovid-19 Open Research Dataset (CORD-19) is a growing 1 resource of
scientific papers on C ovid-19 and related historical coronavirus research. CORD-19 is …

We introduce S2ORC, a large corpus of 81.1 M English-language academic papers
spanning many academic disciplines. The corpus consists of rich metadata, paper abstracts …

Advances in artificial intelligence, sensors and big data management have far-reaching
societal impacts. As these systems augment our everyday lives, it becomes increasing-ly …

When seeking information not covered in patient-friendly documents, healthcare consumers
may turn to the research literature. Reading medical papers, however, can be a challenging …

CERMINE is a comprehensive open-source system for extracting structured metadata from
scientific articles in a born-digital form. The system is based on a modular workflow, whose …

The transfer of knowledge has not changed fundamentally for many hundreds of years: It is
usually document-based-formerly printed on paper as a classic essay and nowadays as …

When reading a scholarly article, inline citations help researchers contextualize the current
article and discover relevant prior work. However, it can be challenging to prioritize and …

Citation recommendation describes the task of recommending citations for a given text. Due
to the overload of published scientific works in recent years on the one hand, and the need …