TASK |
DATASET |
MODEL |
METRIC NAME |
METRIC VALUE |
GLOBAL RANK |
REMOVE |
Chinese Word Segmentation
|
AS
|
Glyce + BERT
|
F1
|
96.7
|
# 1
|
|
Chinese Word Segmentation
|
AS
|
Glyce + BERT
|
Precision
|
96.6
|
# 1
|
|
Chinese Word Segmentation
|
AS
|
Glyce + BERT
|
Recall
|
96.8
|
# 1
|
|
Chinese Sentence Pair Classification
|
BQ
|
Glyce + BERT
|
Accuracy
|
85.8
|
# 1
|
|
Chinese Sentence Pair Classification
|
BQ
|
Glyce + BERT
|
F1
|
85.5
|
# 2
|
|
Chinese Sentence Pair Classification
|
BQ
|
Glyce + BERT
|
Precision
|
84.2
|
# 1
|
|
Chinese Sentence Pair Classification
|
BQ
|
Glyce + BERT
|
Recall
|
86.9
|
# 1
|
|
Chinese Dependency Parsing
|
Chinese Pennbank
|
Biaffine + Glyce
|
LAS
|
89
|
# 1
|
|
Chinese Dependency Parsing
|
Chinese Pennbank
|
Biaffine + Glyce
|
UAS
|
90.2
|
# 1
|
|
Chinese Sentence Pair Classification
|
ChnSentiCorp
|
Glyce + BERT
|
Accuracy
|
95.9
|
# 1
|
|
Chinese Word Segmentation
|
CITYU
|
Glyce + BERT
|
F1
|
97.9
|
# 2
|
|
Chinese Word Segmentation
|
CITYU
|
Glyce + BERT
|
Precision
|
97.9
|
# 1
|
|
Chinese Word Segmentation
|
CITYU
|
Glyce + BERT
|
Recall
|
98
|
# 1
|
|
Chinese Semantic Role Labeling
|
CoNLL-2009
|
k-order pruning + Glyce
|
F1
|
83.7
|
# 1
|
|
Chinese Semantic Role Labeling
|
CoNLL-2009
|
k-order pruning + Glyce
|
Precision
|
85.4
|
# 1
|
|
Chinese Semantic Role Labeling
|
CoNLL-2009
|
k-order pruning + Glyce
|
Recall
|
82.1
|
# 1
|
|
Chinese Part-of-Speech Tagging
|
CTB5
|
Glyce + BERT
|
F1
|
96.61
|
# 2
|
|
Chinese Part-of-Speech Tagging
|
CTB5
|
Glyce + BERT
|
Precision
|
96.5
|
# 1
|
|
Chinese Part-of-Speech Tagging
|
CTB5
|
Glyce + BERT
|
Recall
|
96.74
|
# 1
|
|
Chinese Part-of-Speech Tagging
|
CTB6
|
Glyce + BERT
|
F1
|
95.41
|
# 1
|
|
Chinese Part-of-Speech Tagging
|
CTB6
|
Glyce + BERT
|
Precision
|
95.56
|
# 1
|
|
Chinese Part-of-Speech Tagging
|
CTB6
|
Glyce + BERT
|
Recall
|
95.26
|
# 1
|
|
Chinese Part-of-Speech Tagging
|
CTB9
|
Glyce + BERT
|
F1
|
93.15
|
# 1
|
|
Chinese Part-of-Speech Tagging
|
CTB9
|
Glyce + BERT
|
Precision
|
93.49
|
# 1
|
|
Chinese Part-of-Speech Tagging
|
CTB9
|
Glyce + BERT
|
Recall
|
92.84
|
# 1
|
|
Chinese Sentence Pair Classification
|
Fudan corpus
|
Glyce + BERT
|
Accuracy
|
99.8
|
# 1
|
|
Chinese Sentence Pair Classification
|
iFeng
|
Glyce + BERT
|
Accuracy
|
87.5
|
# 1
|
|
Chinese Sentence Pair Classification
|
LCQMC
|
Glyce + BERT....
|
Accuracy
|
88.7
|
# 1
|
|
Chinese Sentence Pair Classification
|
LCQMC
|
Glyce + BERT....
|
F1
|
88.8
|
# 1
|
|
Chinese Sentence Pair Classification
|
LCQMC
|
Glyce + BERT....
|
Precision
|
86.8
|
# 1
|
|
Chinese Sentence Pair Classification
|
LCQMC
|
Glyce + BERT....
|
Recall
|
91.2
|
# 1
|
|
Chinese Word Segmentation
|
MSR
|
Glyce + BERT
|
F1
|
98.3
|
# 5
|
|
Chinese Word Segmentation
|
MSR
|
Glyce + BERT
|
Precision
|
98.2
|
# 1
|
|
Chinese Word Segmentation
|
MSR
|
Glyce + BERT
|
Recall
|
98.3
|
# 1
|
|
Chinese Named Entity Recognition
|
MSRA
|
Glyce + BERT
|
F1
|
95.54
|
# 8
|
|
Chinese Named Entity Recognition
|
MSRA
|
Glyce + BERT
|
Precision
|
95.57
|
# 1
|
|
Chinese Named Entity Recognition
|
MSRA
|
Glyce + BERT
|
Recall
|
95.51
|
# 1
|
|
Chinese Sentence Pair Classification
|
NLPCC-DBQA
|
Glyce + BERT
|
F1
|
83.4
|
# 1
|
|
Chinese Sentence Pair Classification
|
NLPCC-DBQA
|
Glyce + BERT
|
Precision
|
81.1
|
# 1
|
|
Chinese Sentence Pair Classification
|
NLPCC-DBQA
|
Glyce + BERT
|
Recall
|
85.8
|
# 1
|
|
Chinese Named Entity Recognition
|
OntoNotes 4
|
Glyce + BERT
|
F1
|
80.62
|
# 8
|
|
Chinese Named Entity Recognition
|
OntoNotes 4
|
Glyce + BERT
|
Precision
|
81.87
|
# 1
|
|
Chinese Named Entity Recognition
|
OntoNotes 4
|
Glyce + BERT
|
Recall
|
81.4
|
# 1
|
|
Chinese Word Segmentation
|
PKU
|
Glyce + BERT
|
F1
|
96.7
|
# 2
|
|
Chinese Word Segmentation
|
PKU
|
Glyce + BERT
|
Precision
|
97.1
|
# 1
|
|
Chinese Word Segmentation
|
PKU
|
Glyce + BERT
|
Recall
|
96.4
|
# 1
|
|
Chinese Named Entity Recognition
|
Resume NER
|
Glyce + BERT
|
F1
|
96.54
|
# 5
|
|
Chinese Named Entity Recognition
|
Resume NER
|
Glyce + BERT
|
Precision
|
96.62
|
# 1
|
|
Chinese Named Entity Recognition
|
Resume NER
|
Glyce + BERT
|
Recall
|
96.48
|
# 1
|
|
Chinese Part-of-Speech Tagging
|
UD1
|
Glyce + BERT
|
F1
|
96.14
|
# 1
|
|
Chinese Part-of-Speech Tagging
|
UD1
|
Glyce + BERT
|
Precision
|
96.19
|
# 1
|
|
Chinese Part-of-Speech Tagging
|
UD1
|
Glyce + BERT
|
Recall
|
96.1
|
# 1
|
|
Chinese Named Entity Recognition
|
Weibo NER
|
Glyce + BERT
|
F1
|
67.6
|
# 9
|
|
Chinese Named Entity Recognition
|
Weibo NER
|
Glyce + BERT
|
Precision
|
67.68
|
# 1
|
|
Chinese Named Entity Recognition
|
Weibo NER
|
Glyce + BERT
|
Recall
|
67.71
|
# 1
|
|
Chinese Sentence Pair Classification
|
XNLI
|
Glyce + BERT
|
Accuracy
|
79.2
|
# 1
|
|