BABERT-LE

Reported on 4 benchmarks across 1 task · 1 paper · 4 SOTA

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

Natural Language Processing4 results

ChineseonCTB6
F1· uses extra data· 2022-10-27
97.56
best: 98.07 (LATTE (Linguistic units, lattices, PTMs, GNNs))
SOTA
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling arXiv:2210.15231
ChineseonPKU
F1· 2022-10-27
96.84
SOTA
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling arXiv:2210.15231
ChineseonMSRA
F1· 2022-10-27
98.63
SOTA
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling arXiv:2210.15231
ChineseonMSR
F1· 2022-10-27
98.63
SOTA
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling arXiv:2210.15231