BABERT

Reported on 4 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 Processing4 results

ChineseonCTB6
F1· uses extra data· 2022-10-27
97.45
best: 98.07 (LATTE (Linguistic units, lattices, PTMs, GNNs))
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling arXiv:2210.15231
ChineseonPKU
F1· 2022-10-27
96.7
best: 96.84 (BABERT-LE)
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling arXiv:2210.15231
ChineseonMSRA
F1· 2022-10-27
98.44
best: 98.63 (BABERT-LE)
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling arXiv:2210.15231
ChineseonMSR
F1· 2022-10-27
98.44
best: 98.63 (BABERT-LE)
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling arXiv:2210.15231