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super(BertLstmCrf, self).__init__() self.bert_encoder = bert_model self.embedding_dim = embedding_dim self.hidden_dim = hidden_dim self.rnn_layers = rnn_layers self.lstm = None if rnn_layers > 0: self.lstm = nn.LSTM( embedding_dim, hidden_dim, num_layers=rnn_layers, bidirectional...
使用Bert-BiLstm-CRF做中文命名实体识别,使用的数据集来自https://aistudio.baidu.com/aistudio/competition/detail/802/0/datasets - Trenx-J/BertForNER
使用BERT-BILSTM-CRF进行中文命名实体识别。. Contribute to Mint-hfut/BERT-BILSTM-CRF development by creating an account on GitHub.
使用BERT-BILSTM-CRF进行中文命名实体识别。. Contribute to Mint-hfut/BERT-BILSTM-CRF development by creating an account on GitHub.
bert-bilstm-crf implemented in pytorch for named entity recognition. - changkaizhi/Bert-BiLSTM-CRF-pytorch
git clone https://github.com/macanv/BERT-BiLSTM-CRF-NER cd BERT-BiLSTM-CRF-NER/ python3 setup.py install if you do not want to install, you just need clone this project and reference the file of <run.py> to train the model or start the service. UPDATE: 2019.2.25 Fix some bug...
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning - BERT-BiLSTM-CRF-NER/lstm_crf_layer.py at master · qq547276542/BERT-BiLSTM-CRF-NER
使用Bert-BiLstm-CRF做中文命名实体识别,使用的数据集来自https://aistudio.baidu.com/aistudio/competition/detail/802/0/datasets - Learning-0/BertForNER
使用谷歌预训练bert做字嵌入的BiLSTM-CRF序列标注模型 本模型使用谷歌预训练bert模型(https://github.com/google-research/bert), 同时使用pytorch-pretrained-BERT(https://github.com/huggingface/pytorch-pretrained-BERT) 项目加载bert模型并转化为pytorch参数,CRF代码参考了SLTK(https://github.com/liu-nlper/SLTK...