bert-bilstm-crf topic
deepseg
Chinese word segmentation in tensorflow 2.x
pytorch-bert-crf-ner
KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)
BERT-BiLSTM-CRF-NER
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
slot_filling_and_intent_detection_of_SLU
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
bertNER
ChineseNER based on BERT, with BiLSTM+CRF layer
ChineseNER
中文NER的那些事儿
entity_extractor_by_ner
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。
ChineseNER
基于Bi-GRU + CRF 的中文机构名、人名识别, 支持google bert模型
transformers_ner
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