Update ThaiNER 1.4 to ThaiNER 1.5

[wannaphong]

What does this changes

Update ThaiNER 1.4 to ThaiNER 1.5

GitHub: https://github.com/wannaphong/thai-ner/tree/master/model/1.5

File model: https://github.com/wannaphong/thai-ner/releases/download/1.5/thai-ner-1-5-newmm-lst20.crfsuite

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• Passed code styles and structures
• Passed code linting checks and unit test

[wannaphong]

Thai NER

v1.5

Model Details

• Developer: Wannaphong Phatthiyaphaibun
• Model date: 2021-1-16
• Model version: 1.5
• Used in PyThaiNLP version: 2.3 +
• Filename: ~/pythainlp-data/thai-ner-1-5-newmm-lst20.crfsuite
• CRF Model
• License: CC0
• GitHub for Thai NER 1.5 (Data and train notebook): thai-ner-1-5-newmm-lst20.ipynb https://github.com/wannaphong/thai-ner/tree/master/model/1.5

Intended Use

• Named-Entity Tagging for Thai.
• Not suitable for other language or non-news domain.

Factors

• Based on known problems with thai natural Language processing.

Metrics

• Evaluation metrics include precision, recall and f1-score.

Training Data
ThaiNER 1.5 Corpus Train set (5089 sent)

Evaluation Data
ThaiNER 1.5 Corpus Test set (1274 sent)

Quantitative Analyses

                precision    recall  f1-score   support

        B-DATE       0.93      0.82      0.87       350
        I-DATE       0.95      0.94      0.95       665
         B-LAW       0.85      0.54      0.66        87
         I-LAW       0.85      0.64      0.73       253
         B-LEN       1.00      0.75      0.86        12
         I-LEN       1.00      0.69      0.82        26
    B-LOCATION       0.81      0.70      0.75       620
    I-LOCATION       0.74      0.72      0.73       533
       B-MONEY       1.00      0.91      0.95       131
       I-MONEY       0.99      0.95      0.97       321
B-ORGANIZATION       0.92      0.70      0.80      1334
I-ORGANIZATION       0.80      0.73      0.76      1198
     B-PERCENT       0.94      0.88      0.91        17
     I-PERCENT       0.91      0.95      0.93        22
      B-PERSON       0.96      0.78      0.86       607
      I-PERSON       0.94      0.88      0.91      2181
       B-PHONE       1.00      0.50      0.67         2
       I-PHONE       1.00      1.00      1.00         8
        B-TIME       0.93      0.66      0.77        87
        I-TIME       0.97      0.77      0.86       158
         B-URL       0.91      0.83      0.87        12
         I-URL       0.93      0.96      0.94        94

     micro avg       0.89      0.79      0.84      8718
     macro avg       0.92      0.79      0.84      8718
  weighted avg       0.90      0.79      0.84      8718
   samples avg       0.16      0.16      0.16      8718

Ethical Considerations
no ideas

Caveats and Recommendations

• Thai text only

[pep8speaks]

Hello @wannaphong! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found:

There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻

Comment last updated at 2021-02-18 08:56:06 UTC