bert-large-uncased + APN

Reported on 3 benchmarks across 1 task · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing3 results

Question AnsweringonSCDE
BA· 2020-04-27
0.717
best: 0.852 (albert-xxlarge + APN(baseline))
SOTA
SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations arXiv:2004.12934
Question AnsweringonSCDE
DE· 2020-04-27
0.661
best: 0.699 (bert-large-uncased + APN(baseline))
SOTA
SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations arXiv:2004.12934
Question AnsweringonSCDE
PA· 2020-04-27
0.299
best: 0.555 (albert-xxlarge + APN(baseline))
SOTA
SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations arXiv:2004.12934