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20202022
most citedLongitudinal Citation Prediction using Temporal Graph Neural Networks

8 citations · 10 across the 5 of their papers we have counts for

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cs.CL2022

Modeling Information Change in Science Communication with Semantically Matched Paraphrases

Dustin Wright, Jiaxin Pei, David Jurgens +1

Whether the media faithfully communicate scientific information has long been a core issue to the science community. Automatically identifying paraphrased scientific findings could…

cs.CL20221 cited

Generating Scientific Claims for Zero-Shot Scientific Fact Checking

Dustin Wright, David Wadden, Kyle Lo +4

Automated scientific fact checking is difficult due to the complexity of scientific language and a lack of significant amounts of training data, as annotation requires domain exper…

cs.CL2021

Semi-Supervised Exaggeration Detection of Health Science Press Releases

Dustin Wright, Isabelle Augenstein

Public trust in science depends on honest and factual communication of scientific papers. However, recent studies have demonstrated a tendency of news media to misrepresent scienti…

cs.CL20208 cited

Longitudinal Citation Prediction using Temporal Graph Neural Networks

Andreas Nugaard Holm, Barbara Plank, Dustin Wright +1

Citation count prediction is the task of predicting the number of citations a paper has gained after a period of time. Prior work viewed this as a static prediction task. As papers…

cs.CL2020

Claim Check-Worthiness Detection as Positive Unlabelled Learning

Dustin Wright, Isabelle Augenstein

As the first step of automatic fact checking, claim check-worthiness detection is a critical component of fact checking systems. There are multiple lines of research which study th…