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Blackboard CLS

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V1.0

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Model Details

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  • Developer: Wannaphong Phatthiyaphaibun
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  • This report author: Wannaphong Phatthiyaphaibun
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  • Model date: 2022-10-14
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  • Model version: 1.0
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  • Used in PyThaiNLP version: 3.2 +
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  • Filename: pythainlp/corpus/blackboard-cls_v1.0.crfsuite
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  • GitHub: https://github.com/PyThaiNLP/pythainlp/issues/729
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  • CRF Model
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  • License: CC0
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Intended Use

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  • Segmenting Thai text into clauses (smaller than a sentence but bigger than a word)
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  • Not suitable for other language or non-news domains.
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Factors

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  • Based on known problems with thai natural Language processing.
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Metrics

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

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Blackboard treebank

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Evaluation Data

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Blackboard treebank

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Quantitative Analyses

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              precision    recall  f1-score   support
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-       B_CLS       1.00      1.00      1.00     91698
-       E_CLS       1.00      1.00      1.00     91700
-       I_CLS       1.00      1.00      1.00    707795
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-   micro avg       1.00      1.00      1.00    891193
-   macro avg       1.00      1.00      1.00    891193
-weighted avg       1.00      1.00      1.00    891193
- samples avg       1.00      1.00      1.00    891193
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Ethical Considerations

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  • It trains from Blackboard treebank. It is possible to have a bias from Blackboard treebank.
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Caveats and Recommendations

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  • The user must perform word segmentation first before using this model.
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  • Thai text only
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