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cs.CL2023
Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence
Gengyu Wang, Kate Harwood, Lawrence Chillrud +3
We present a new fact-checking benchmark, Check-COVID, that requires systems to verify claims about COVID-19 from news using evidence from scientific articles. This approach to fac…
cs.CL2023
Unsupervised Selective Rationalization with Noise Injection
Adam Storek, Melanie Subbiah, Kathleen McKeown
A major issue with using deep learning models in sensitive applications is that they provide no explanation for their output. To address this problem, unsupervised selective ration…