accepted
Accepted on Bradbury. The appeal and finalization window is still open.
Verdict
verified
The claim is faithfully supported by the cited source. The validators reached consensus on this label.
The claim
“BERT is pre-trained using a masked language model objective and a next sentence prediction objective.”
Source
arxiv.org/abs/1810.04805 →Abstract
Jury opinion
The source excerpt explicitly states BERT is "designed to pre-train deep bidirectional representations from unlabeled text by jointly conditioning on both left and right context in all layers," which is the core of the masked language modeling objective, and the original BERT paper is well-known for introducing the next sentence prediction task.
Submitted by
0x7713…0aDa
Stake consumed
0.001 GEN
Issue number
No. 0002
Appeals
0 / 1
Chain state
accepted
Permanent reference