Swayatta/multilingNER

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 # 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