A tool to streamline the Chinese NER process using CKIP model. By student developers - Sherry, Berry
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Updated
Jul 10, 2024 - Python
A tool to streamline the Chinese NER process using CKIP model. By student developers - Sherry, Berry
中文NER的那些事儿
PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
中文命名实体识别(包括多种模型:HMM,CRF,BiLSTM,BiLSTM+CRF的具体实现)
TPlinker for NER 中文/英文命名实体识别
本NER项目包含多个中文数据集,模型采用BiLSTM+CRF、BERT+Softmax、BERT+Cascade、BERT+WOL等,最后用TFServing进行模型部署,线上推理和线下推理。
ChineseNER based on BERT, with BiLSTM+CRF layer
NER (pytorch+tensorflow for chinese) word2vec
A CRF based Chinese Named-entity Recognition Library written in Rust
This is a task on Chinese chat title NER via BERT-BiLSTM-CRF model.
Named Entity Recognition
Using pre-trained BERT models for Chinese and English NER with 🤗Transformers
Chinese NER using Lattice LSTM. Code for ACL 2018 paper.
This is a named entity recognizer based on pytorch-pretrained-bert.
follow paper TRANSFER LEARNING FOR SEQUENCE TAGGING WITH HIERARCHICAL RECURRENT NETWORKS
Chinese NER using Lattice LSTM. Code for ACL 2018 paper. In python3 with pytorch 0.4.1.
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