macanv/BERT-BiLSTM-CRF-NER
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Source code for AAAI 2022 paper: Unified Named Entity Recognition as Word-Word Relation Classification
$ git clone https://github.com/ljynlp/W2NER.gitTensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Snips Python library to extract meaning from text
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
中文命名实体识别(包括多种模型:HMM,CRF,BiLSTM,BiLSTM+CRF的具体实现)
Named Entity Recognition (LSTM + CRF) - Tensorflow
A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.
Data from GitHub · snapshot Sep 24, 2026