Blackboard CLS

V1.0

Model Details

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

Intended Use

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

Factors

• Based on known problems with thai natural Language processing.

Metrics

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

Training Data

Blackboard treebank

Evaluation Data

Blackboard treebank

Quantitative Analyses

              precision    recall  f1-score   support

       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

   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

Ethical Considerations

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

Caveats and Recommendations

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