SemBERT large

Reported on 2 benchmarks across 1 task · 1 paper

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

Natural Language Processing2 results

Question AnsweringonSQuAD2.0 dev
EM· 2019-09-05
80.9
best: 87.9 (XLNet (single model))
Semantics-aware BERT for Language Understanding arXiv:1909.02209
Question AnsweringonSQuAD2.0 dev
F1· 2019-09-05
83.6
best: 90.6 (XLNet (single model))
Semantics-aware BERT for Language Understanding arXiv:1909.02209