Shypd.aiThe largest open index of AI toolsCLUENER2020 is an open-source PyTorch implementation for Named Entity Recognition (NER), specifically designed for Chinese NER tasks. It provides baseline models including BiLSTM, BERT, and Roberta with CRF layers.
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CLUENER2020 offers a PyTorch implementation of various models for Named Entity Recognition (NER), focusing on Chinese language tasks. It includes baseline code for the CLUENER2020 competition, featuring models like BiLSTM-CRF, BERT-base with Softmax/CRF/BiLSTM+CRF, and Roberta with Softmax/CRF/BiLSTM+CRF. The project utilizes the CLUENER2020 dataset, a Chinese fine-grained NER dataset derived from THUCNEWS, with 10 distinct categories such as organization, person name, and address. Users can configure model parameters and other hyperparameters, and the repository provides instructions for setting up the environment and running the models. It also includes pre-trained BERT and Roberta models for convenience.
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