Bert-BiLSTM-CRF PyTorch 框架函数解析：_score_sentence(self, scores, mask, tags)

深入解析GitHub上的代码：Bert-BiLSTM-CRF-pytorch模型。
Github 相关链接: link.

negative log-likelihood loss is calculated as the difference between the predicted score and the reference score. This part aims to compute the true score of the generated sequence, where the forward score represents the predicted score, and the gold score denotes the reference score.

negative log-likelihood loss is calculated as the difference between the predicted score and the reference score. This part aims to compute the true score of the generated