Named Entity Recognition On Bc4Chemd
Metrics
F1
Results
Performance results of various models on this benchmark
Model Name | F1 | Paper Title | Repository |
---|---|---|---|
BERN | 91.2 | - | - |
BLSTM-CNN-Char (SparkNLP) | 93.72 | - | - |
UniNER-7B | 89.21 | - | - |
BERN2 | 92.8 | - | - |
aimped | 92.45 | - | - |
BertForTokenClassification (Spark NLP) | 94.39 | - | - |
Att-BiLSTM-CRF | 91.14 | - | - |
0 of 7 row(s) selected.