Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning - juventi/BERT-BiLSTM-CRF-NER
于是作者在大规模无标注数据集上训练了双向LM,由BiLSTM的forward和bachward层拼接得到文本表征,用LM模型来帮助抽取更全面/通用的文本信息。在NER模型中第一层BiLSTM从NER标注数据中学习上下文信息,第二层BiLSTM的输入由第一层输出和LM模型的输出拼接得到,这样就可以结合小样本训练的文本表征和更加通用LM的文本表征。
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
Pytorch BERT-BiLSTM-CRF For NER. Contribute to deepframwork/BERT-BiLSTM-CRF-NER-pytorch development by creating an account on GitHub.
stanleylsx/entity_extractor_by_ner Star414 基于Tensorflow2.3开发的NER模型,都是CRF范式,包含Bilstm(IDCNN)-CRF、Bert-Bilstm(IDCNN)-CRF、Bert-CRF,可微调预训练模型,可对抗学习,用于命名实体识别,配置后可直接运行。 bilstm-crfbert-bilstm-crfidcnn-crftensorflow2bert-crfbert-idcnn-crf ...
BERT-BiLSTM-CRF模型 【简介】使用谷歌的BERT模型在BiLSTM-CRF模型上进行预训练用于中文命名实体识别的pytorch代码 项目结构 bert_bilstm_crf_ner_pytorch torch_ner bert-base-chinese --- 预训练模型 data --- 放置训练所需数据 output --- 项目输出,包含模型、向量表示、日志信息等 source --- 源代码 confi...
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning - BayLee001/BERT-BiLSTM-CRF-NER
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services - Blaming BERT-BiLSTM-CRF-NER/thu_classification.py at master · atom32/BERT-BiLSTM-CRF-NER
【NLP】基于BERT-BiLSTM-CRF的NER实现mp.weixin.qq.com/s/mJvSp9nemm7wPXMX0hibDA 背景 NER任务毋庸多言,之前也是从HMM,BiLSTM-CRF,IDCNN-CRF一路实现,也看到各个模型的效果和性能。在BERT大行其道的时期,不用BERT做一下BERT那就有点out了,毕竟基于BERT的衍生语言模型也变得更加强悍。不过当前使用BERT+so...