Web: http://arxiv.org/abs/2112.01640

May 11, 2022, 1:11 a.m. | David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi

cs.CL updates on arXiv.org arxiv.org

The scientific claim verification task requires an NLP system to label
scientific documents which Support or Refute an input claim, and to select
evidentiary sentences (or rationales) justifying each predicted label. In this
work, we present MultiVerS, which predicts a fact-checking label and identifies
rationales in a multitask fashion based on a shared encoding of the claim and
full document context. This approach accomplishes two key modeling goals.
First, it ensures that all relevant contextual information is incorporated into
each …

arxiv context verification

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