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Multilingual low resource sequence labeller - using BERT-CRF, BERT Linear and BERT-BiLSTM-CRF for downstream task of named entity recognition of low resource languages

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Name		Name	Last commit message	Last commit date
Latest commit History 33 Commits
bert-crf4NER		bert-crf4NER
corpus		corpus
model		model
.gitignore		.gitignore
README.md		README.md
requirements.txt		requirements.txt
setup.py		setup.py

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BERT_CRF

BERT_CRF model for Name Entity Recognition in pytorch

Setting up the initial requirements
pip install -r requirements.txt

For traninig a model:
Keep the training data file in the corpus directory
cd bert-crf4NER
python bert_crf.py --mode train

For testing the model:
Keep the test/dev data file in the corpus directory
cd bert-crf4NER
python bert_crf.py --mode test

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Multilingual low resource sequence labeller - using BERT-CRF, BERT Linear and BERT-BiLSTM-CRF for downstream task of named entity recognition of low resource languages

named-entity-recognition ner bert conditional-random-fields

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