Semi-supervised Thai Sentence Segmentation Using Local and Distant Word Representations
Table 5: Model hyperparameters for each dataset
['Model', 'Orchid', 'UGWC', 'IWSLT']
The hyperparameter values were determined through a grid search to find their optimal values on the different datasets. The optimal values from the grid search depend on the task. For Thai sentence segmentation, the hyperparameters are tuned to obtain the highest sentence boundary F1 score, while the overall F1 score is used to tune the parameters for English punctuation restoration.