While there has been significant development of models for Plain Languag...
The volume of scientific output is creating an urgent need for automated...
Multi-document summarization (MDS) has traditionally been studied assumi...
While research on scientific claim verification has led to the developme...
Figures in scientific publications contain important information and res...
Automated scientific fact checking is difficult due to the complexity of...
When seeking information not covered in patient-friendly documents, like...
We introduce the LongChecker system for scientific claim verification. G...
Predictive models for medical outcomes hold great promise for enhancing
...
Classifying the core textual components of a scientific paper-title, aut...
The majority of scientific papers are distributed in PDF, which pose
cha...
We present an overview of the TREC-COVID Challenge, an information retri...
To assess the effectiveness of any medical intervention, researchers mus...
Accessibility research sits at the junction of several disciplines, draw...
Accessibility research has grown substantially in the past few decades, ...
Understanding the relationship between figures and text is key to scient...
TREC-COVID is a community evaluation designed to build a test collection...
We introduce the task of scientific fact-checking. Given a corpus of
sci...
The COVID-19 Open Research Dataset (CORD-19) is a growing resource of
sc...
We introduce S2ORC, a large contextual citation graph of English-languag...
We introduce the Semantic Scholar Graph of References in Context (GORC),...
Dietary supplements are used by a large portion of the population, but
i...
A comprehensive and up-to-date analysis of Computer Science literature (...
Ontology alignment is the task of identifying semantically equivalent
en...
We describe a deployed scalable system for organizing published scientif...