ProHiryu/albert-chinese-ner
Fine-tunes the ALBERT pretrained Chinese language model for Named Entity Recognition tasks.
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This project adapts ALBERT, a lite version of BERT, for Chinese Named Entity Recognition by fine-tuning the pretrained model on NER data. It uses TensorFlow and follows the standard BERT fine-tuning approach, training on labeled NER datasets to predict entity tags like B-LOC, I-PER for location and person entities.
Frequently asked
- What is ProHiryu/albert-chinese-ner?
- Fine-tunes the ALBERT pretrained Chinese language model for Named Entity Recognition tasks.
- Is albert-chinese-ner open source?
- Yes — ProHiryu/albert-chinese-ner is open source, released under the MIT license.
- What language is albert-chinese-ner written in?
- ProHiryu/albert-chinese-ner is primarily written in Python.
- How popular is albert-chinese-ner?
- ProHiryu/albert-chinese-ner has 476 stars on GitHub.
- Where can I find albert-chinese-ner?
- ProHiryu/albert-chinese-ner is on GitHub at https://github.com/ProHiryu/albert-chinese-ner.