taishan1994/pytorch_bert_bilstm_crf_ner
A BERT-BiLSTM-CRF model for Chinese named entity recognition built with PyTorch.
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This repository implements a neural NER system combining BERT pre-trained embeddings with bidirectional LSTM layers and a Conditional Random Field decoding layer for sequence labeling. It uses the HuggingFace transformers library to load Chinese BERT weights and processes data in BIOES tagging format. The system supports training, validation, and evaluation on Chinese NER datasets like cner.
Frequently asked
- What is taishan1994/pytorch_bert_bilstm_crf_ner?
- A BERT-BiLSTM-CRF model for Chinese named entity recognition built with PyTorch.
- Is pytorch_bert_bilstm_crf_ner open source?
- Yes — taishan1994/pytorch_bert_bilstm_crf_ner is an open-source project tracked on heatdrop.
- What language is pytorch_bert_bilstm_crf_ner written in?
- taishan1994/pytorch_bert_bilstm_crf_ner is primarily written in Python.
- How popular is pytorch_bert_bilstm_crf_ner?
- taishan1994/pytorch_bert_bilstm_crf_ner has 588 stars on GitHub.
- Where can I find pytorch_bert_bilstm_crf_ner?
- taishan1994/pytorch_bert_bilstm_crf_ner is on GitHub at https://github.com/taishan1994/pytorch_bert_bilstm_crf_ner.