GitHub - SayamAlt/CoNLL-2003-NER-using-Bidirectional-LSTM-Attention: Successfully developed a Named Entity Recognition (NER) model on the CoNLL-2003 dataset using a Bidirectional LSTM with Attention mechanism to accurately identify entities such as persons, locations, organizations, and miscellaneous categories in English text.

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Name		Name	Last commit message	Last commit date
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data		data
train		train
validation		validation
.DS_Store		.DS_Store
bilstm_attention_ner_model.keras		bilstm_attention_ner_model.keras
conll-2003-ner-using-bilstm-attention.ipynb		conll-2003-ner-using-bilstm-attention.ipynb
model.png		model.png

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Successfully developed a Named Entity Recognition (NER) model on the CoNLL-2003 dataset using a Bidirectional LSTM with Attention mechanism to accurately identify entities such as persons, locations, organizations, and miscellaneous categories in English text.