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Update README.md
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README.md
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## A Biomedical Pos-Tagger for English
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Trained with the GENIA corpus.
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See more in: https://github.com/lisaterumi/postagger-bio-english
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## A Biomedical Pos-Tagger for English
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Trained with the GENIA corpus.
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Eval:
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```
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precision recall f1-score support
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0 0.98 1.00 0.99 263
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3 0.93 1.00 0.97 14
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5 1.00 1.00 1.00 8
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6 0.99 0.99 0.99 169
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7 1.00 1.00 1.00 203
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8 0.99 1.00 1.00 195
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9 0.95 0.78 0.85 98
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10 0.83 1.00 0.91 5
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11 0.96 0.97 0.96 532
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12 1.00 1.00 1.00 252
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13 0.99 0.98 0.99 1575
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14 0.95 0.95 0.95 133
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15 0.89 0.89 0.89 9
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16 1.00 1.00 1.00 3
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18 0.99 1.00 0.99 69
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19 1.00 0.95 0.98 22
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20 0.99 1.00 1.00 395
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22 1.00 1.00 1.00 1328
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23 1.00 1.00 1.00 987
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24 1.00 1.00 1.00 6
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25 0.00 0.00 0.00 0
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26 1.00 1.00 1.00 620
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27 0.00 0.00 0.00 1
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28 1.00 1.00 1.00 39
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29 0.98 0.99 0.98 5674
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30 0.97 0.96 0.96 2075
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31 1.00 0.71 0.83 7
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32 1.00 0.80 0.89 5
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33 1.00 1.00 1.00 58
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34 1.00 1.00 1.00 2
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35 0.96 0.96 0.96 336
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37 0.99 1.00 1.00 1579
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38 1.00 1.00 1.00 1446
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39 1.00 0.98 0.99 57
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accuracy 0.99 18165
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macro avg 0.92 0.91 0.91 18165
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weighted avg 0.99 0.99 0.99 18165
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F1: 0.985267446136761 Accuracy: 0.9853564547206166
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```
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Tags:
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```
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{0: 'VBD',
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1: 'N',
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2: 'XT',
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3: 'JJS',
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4: 'E2A',
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5: 'WRB',
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6: 'VB',
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7: 'TO',
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8: 'VBP',
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9: 'FW',
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10: 'EX',
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11: 'VBN',
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12: 'VBZ',
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13: 'NNS',
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14: 'VBG',
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15: 'RBR',
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16: 'WP',
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17: 'CT',
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18: 'PRP',
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19: 'JJR',
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20: 'CC',
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21: 'NNPS',
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22: 'CD',
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23: 'DT',
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24: 'NNP',
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25: 'PDT',
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26: 'LS',
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27: 'PP',
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28: 'PRP$',
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29: 'NN',
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30: 'JJ',
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31: 'RP',
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32: 'RBS',
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33: 'MD',
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34: 'WP$',
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35: 'RB',
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36: 'SYM',
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37: 'IN',
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38: 'PUNCT',
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39: 'WDT',
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40: 'POS',
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41: '<pad>'}
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```
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Parameters:
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```
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nepochs = 30 (stop at 18th)
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batch_size = 32
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batch_status = 32
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learning_rate = 1e-5
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early_stop = 3
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max_length = 200
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checkpoint: dmis-lab/biobert-base-cased-v1.2
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```
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See more in: https://github.com/lisaterumi/postagger-bio-english
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