Neural CRF Model for Sentence Alignment in Text Simplification
Table 9: Parameters of our neural CRF sentence alignment model.
['[BOLD] Parameter hidden units', '[BOLD] Value 768', '[BOLD] Parameter # of layers', '[BOLD] Value 12']
For the sentence encoder, we used Huggingface implementationWolf et al. When fine-tuning the BERT model, we use the representation of [CLS] token for classification. We use cross entropy loss and update the weights in all layers.