Named Entity Recognition
macanv/BERT-BiLSTM-CRF-NER
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Pythonno licenseupdated Feb 24, 2021
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
$ git clone https://github.com/sz128/slot_filling_and_intent_detection_of_SLU.gitTensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
基于pytorch的中文意图识别和槽位填充
A very simple framework for state-of-the-art Natural Language Processing (NLP)
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
Data from GitHub · snapshot Sep 24, 2026