luopeixiang/named_entity_recognition
Chinese named entity recognition system using multiple sequence labeling models (HMM, CRF, BiLSTM, BiLSTM+CRF) implemented in PyTorch.
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This repository implements Chinese Named Entity Recognition using several approaches: traditional statistical methods (HMM, CRF) and neural models (BiLSTM, BiLSTM+CRF). It trains on resume datasets formatted with BIOES tagging scheme and evaluates models using precision, recall, and F1 score. The project also includes an ensemble method that combines predictions from all four models via voting.
Frequently asked
- What is luopeixiang/named_entity_recognition?
- Chinese named entity recognition system using multiple sequence labeling models (HMM, CRF, BiLSTM, BiLSTM+CRF) implemented in PyTorch.
- Is named_entity_recognition open source?
- Yes — luopeixiang/named_entity_recognition is an open-source project tracked on heatdrop.
- What language is named_entity_recognition written in?
- luopeixiang/named_entity_recognition is primarily written in Python.
- How popular is named_entity_recognition?
- luopeixiang/named_entity_recognition has 2.3k stars on GitHub.
- Where can I find named_entity_recognition?
- luopeixiang/named_entity_recognition is on GitHub at https://github.com/luopeixiang/named_entity_recognition.