Therefore, this paper uses the pre-trained model BERT (bidirectional encoder representation from transformers) as the embedding layer of the model, adds a self-attention layer, and proposes a Chinese named entity recognition research method based on the Bert-BiLSTM-CRF model combined with self-...
Jo**hn上传612KB文件格式zip 毕业设计:基于Bert_Position_BiLSTM_Attention_CRF_LSTMDecoder的法律文书要素识别.zip (0)踩踩(0) 所需:1积分 java作业管理系统设计(源代码).zip 2025-02-04 14:59:00 积分:1 java某百货店POS积分管理系统-积分点更新生成以及通票回收处理(源代码).zip ...
This method integrates the BiLSTM and BERT models and combines these with the attention mechanism. The steps of this methods are as follows: First, data preprocessing is carried out by word segmentation and removing stop words; second, after extracting the features and...