Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
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Updated
Feb 24, 2021 - Python
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
ChineseNER based on BERT, with BiLSTM+CRF layer
slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet
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。
中文NER的那些事儿
基于Bi-GRU + CRF 的中文机构名、人名识别, 支持google bert模型
Add CRF or LSTM+CRF for huggingface transformers bert to perform better on NER task. It is very simple to use and very convenient to customize
bert文本多分类(情感分析)、bert-bilstm-crf序列标注任务(快递地址的序列标注任务)
Chinese word segmentation in tensorflow 2.x
Named Entity Recognition for Chinese Drug Instructions
Code for "Contextualized Embeddings in Named-Entity Recognition", ECIR 2020
This is a task on Chinese chat title NER via BERT-BiLSTM-CRF model.
Token and Sentence Level Classification with Google's BERT (TensorFlow)
sequence tagging
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