readme: ---
  language: "en"
  widget:
  - text: "On the other hand, a decline of the arsenic content in hair and nail was observed after withdrawal of the drug."
  - text: "These differences in gene expression have not been molecularly defined."
  - text: "p65 was detected in the cytoplasm of FDC , whereas nuclei were negative."
  - text: "These differences in gene expression have not been molecularly defined."
  
  datasets: 
  - Genia
  ---
  
  ## A Biomedical Pos-Tagger for English
  Trained with the GENIA corpus.
  
  Eval:
  ```
  precision    recall  f1-score   support
  
             0       0.98      1.00      0.99       263
             3       0.93      1.00      0.97        14
             5       1.00      1.00      1.00         8
             6       0.99      0.99      0.99       169
             7       1.00      1.00      1.00       203
             8       0.99      1.00      1.00       195
             9       0.95      0.78      0.85        98
            10       0.83      1.00      0.91         5
            11       0.96      0.97      0.96       532
            12       1.00      1.00      1.00       252
            13       0.99      0.98      0.99      1575
            14       0.95      0.95      0.95       133
            15       0.89      0.89      0.89         9
            16       1.00      1.00      1.00         3
            18       0.99      1.00      0.99        69
            19       1.00      0.95      0.98        22
            20       0.99      1.00      1.00       395
            22       1.00      1.00      1.00      1328
            23       1.00      1.00      1.00       987
            24       1.00      1.00      1.00         6
            25       0.00      0.00      0.00         0
            26       1.00      1.00      1.00       620
            27       0.00      0.00      0.00         1
            28       1.00      1.00      1.00        39
            29       0.98      0.99      0.98      5674
            30       0.97      0.96      0.96      2075
            31       1.00      0.71      0.83         7
            32       1.00      0.80      0.89         5
            33       1.00      1.00      1.00        58
            34       1.00      1.00      1.00         2
            35       0.96      0.96      0.96       336
            37       0.99      1.00      1.00      1579
            38       1.00      1.00      1.00      1446
            39       1.00      0.98      0.99        57
  
      accuracy                           0.99     18165
     macro avg       0.92      0.91      0.91     18165
  weighted avg       0.99      0.99      0.99     18165
  
  F1:  0.985267446136761 Accuracy:  0.9853564547206166
  ```
  
  Tags:
  ```
  {0: 'VBD',
   1: 'N',
   2: 'XT',
   3: 'JJS',
   4: 'E2A',
   5: 'WRB',
   6: 'VB',
   7: 'TO',
   8: 'VBP',
   9: 'FW',
   10: 'EX',
   11: 'VBN',
   12: 'VBZ',
   13: 'NNS',
   14: 'VBG',
   15: 'RBR',
   16: 'WP',
   17: 'CT',
   18: 'PRP',
   19: 'JJR',
   20: 'CC',
   21: 'NNPS',
   22: 'CD',
   23: 'DT',
   24: 'NNP',
   25: 'PDT',
   26: 'LS',
   27: 'PP',
   28: 'PRP$',
   29: 'NN',
   30: 'JJ',
   31: 'RP',
   32: 'RBS',
   33: 'MD',
   34: 'WP$',
   35: 'RB',
   36: 'SYM',
   37: 'IN',
   38: 'PUNCT',
   39: 'WDT',
   40: 'POS',
   41: '<pad>'}
   ```
   
  Parameters:
   ```
  nepochs = 30 (stop at 18th)
  batch_size = 32
  batch_status = 32
  learning_rate = 1e-5
  early_stop = 3
  max_length = 200
  checkpoint: dmis-lab/biobert-base-cased-v1.2
  ```
  
  See more in: https://github.com/lisaterumi/postagger-bio-english