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中文命名实体识别(包括多种模型:HMM,CRF,BiLSTM,BiLSTM+CRF的具体实现)
Chinese NER using Lattice LSTM. Code for ACL 2018 paper.
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
ChineseNER based on BERT, with BiLSTM+CRF layer
PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.
Using pre-trained BERT models for Chinese and English NER with 🤗Transformers
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。
A CRF based Chinese Named-entity Recognition Library written in Rust
一套针对中文实体识别的BLSTM-CRF解决方案
This is a task on Chinese chat title NER via BERT-BiLSTM-CRF model.
follow paper TRANSFER LEARNING FOR SEQUENCE TAGGING WITH HIERARCHICAL RECURRENT NETWORKS
NER (pytorch+tensorflow for chinese) word2vec
A tool to streamline the Chinese NER process using CKIP model. By student developers - Sherry, Berry