There are 1 repository under bert-crf topic.
KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)
A PyTorch implementation of a BiLSTM\BERT\Roberta(+CRF) model for Named Entity Recognition.
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。
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
利用传统方法(N-gram,HMM等)、神经网络方法(CNN,LSTM等)和预训练方法(Bert等)的中文分词任务实现【The word segmentation task is realized by using traditional methods (n-gram, HMM, etc.), neural network methods (CNN, LSTM, etc.) and pre training methods (Bert, etc.)】
Chinese word segmentation in tensorflow 2.x
序列标注:包含多种不同的模型(CRF,Bi-LSTM+CRF,SPAN,Global_Pointer,Softmax)来解决序列任务,如中文命名实体识别等